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They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. 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As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems, intelligent advertising systems, and large-scale machine learning pipelines.</p>\n<p>Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You&#39;ll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>\n<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n<li>Improve system performance across latency, throughput, and model quality metrics</li>\n<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n<li>Experience improving measurable metrics through applied machine learning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>\n<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>\n<li>Experience working with real-time systems and low-latency production environments</li>\n<li>Background in feature engineering, model optimization, and production monitoring</li>\n<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>\n<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>\n</ul>\n<p>Potential Teams:</p>\n<ul>\n<li>Ads Measurement Modeling</li>\n<li>Ads Targeting and Retrieval</li>\n<li>Advertiser Optimization</li>\n<li>Ads Marketplace Quality</li>\n<li>Ads Creative Effectiveness</li>\n<li>Ads Foundational Representations</li>\n<li>Ads Content Understanding</li>\n<li>Ads Ranking</li>\n<li>Feed Relevance</li>\n<li>Search and Answers Relevance</li>\n<li>ML Understanding</li>\n<li>Notifications Relevance</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</p>\n<p>The base salary range for this position is: $185,800-$260,100 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_467be5c4-940","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7131932","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$185,800-$260,100 USD","x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs","Spark","Kafka","Ray","Airflow","BigQuery","Redis"],"x-skills-preferred":["Recommender systems","Search/ranking systems","Advertising/auction systems","Large-scale representation learning","Multimodal embedding systems","Distributed systems","Large-scale data processing","Real-time systems","Low-latency production environments","Feature engineering","Model optimization","Production monitoring","LLM/Gen AI techniques"],"datePosted":"2026-04-18T15:57:49.850Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Go, PyTorch, TensorFlow, XGBoost, Random Forests, Regressions, Transformers, CNNs, GNNs, Spark, Kafka, Ray, Airflow, BigQuery, Redis, Recommender systems, Search/ranking systems, Advertising/auction systems, Large-scale representation learning, Multimodal embedding systems, Distributed systems, Large-scale data processing, Real-time systems, Low-latency production environments, Feature engineering, Model optimization, Production monitoring, LLM/Gen AI techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185800,"maxValue":260100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a154c39-08a"},"title":"Senior Machine Learning Platform Engineer (Platform)","description":"<p>Ready to be pushed beyond what you think you’re capable of?</p>\n<p>At Coinbase, our mission is to increase economic freedom in the world.</p>\n<p>We&#39;re seeking a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. 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Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.</p>\n<p>What we look for in you:</p>\n<p>5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</p>\n<p>Nice to haves:</p>\n<p>Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).</p>\n<p>Job ID: P75535</p>\n<p>Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). 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You&#39;ll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You&#39;ll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.</p>\n<p>You&#39;ll collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles. 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Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.</p>\n<p>Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.</p>\n<p>Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.</p>\n<p><strong>About the Role</strong></p>\n<p>As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave&#39;s orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.</p>\n<p>This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.</p>\n<p>By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what&#39;s possible with AI.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave&#39;s orchestration platform.</p>\n<p>You&#39;ll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.</p>\n<p>You&#39;ll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave&#39;s orchestration layer evolves to meet the demands of next-generation AI workloads.</p>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>8+ years of software engineering experience.</li>\n</ul>\n<ul>\n<li>Proven track record designing and operating large-scale distributed systems in production.</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals and cloud-native development.</li>\n</ul>\n<ul>\n<li>Advanced proficiency in Go and distributed systems design and cloud-native development.</li>\n</ul>\n<ul>\n<li>Experience setting technical direction and influencing cross-team architecture.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in CS, EE, or related field.</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals.</li>\n</ul>\n<ul>\n<li>Experience with distributed workloads, GPU-based applications, or ML pipelines.</li>\n</ul>\n<ul>\n<li>Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.</li>\n</ul>\n<ul>\n<li>Exposure to reliability practices including SLOs, alarms, and post-incident reviews.</li>\n</ul>\n<ul>\n<li>Experience with AI infrastructure and workloads (ML training, inference, or HPC).</li>\n</ul>\n<ul>\n<li>Ability to mentor senior engineers and elevate organizational standards.</li>\n</ul>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on.</p>\n<p>We&#39;re not afraid of a little chaos, and we&#39;re constantly learning.</p>\n<p>Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking.</p>\n<p>We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.</p>\n<p>As we get set for take off, the growth opportunities within the organization are constantly expanding.</p>\n<p>You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.</p>\n<p>Come join us!</p>\n<p><strong>Salary and Benefits</strong></p>\n<p>The base salary range for this role is $185,000 to $275,000.</p>\n<p>The starting salary will be determined based on job-related knowledge, skills, experience, and market location.</p>\n<p>We strive for both market alignment and internal equity when determining compensation.</p>\n<p>In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p><strong>What We Offer</strong></p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role.</p>\n<p>To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.</p>\n<p>These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 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This team plays a central role in CoreWeave&#39;s growth strategy, configuring, updating, and remotely troubleshooting our highest-tier supercomputing clusters and their networking, delivery platforms, and tools dependencies.</p>\n<p>We are seeking curious, creative, and persistent problem solvers to join our Fleet Reliability Operations team to help drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Configuring and maintaining large-scale high-performance supercomputing clusters running state-of-the-art GPUs</li>\n<li>Troubleshooting hardware and software issues; escalating and coordinating as needed with data center, network, hardware, and platform teams to drive resolution</li>\n<li>Monitoring and analyzing system performance and taking appropriate remediation actions for cloud health</li>\n<li>Approaching work with flexibility and optimism, anticipating shifting business and technical priorities</li>\n<li>Creating and maintaining documentation of team processes, knowledge, and best practices for system management</li>\n<li>Thinking critically about day-to-day work and working collaboratively to improve team processes and efficiency</li>\n</ul>\n<p>As a member of our team, you will be part of a dynamic and fast-paced environment where you will have the opportunity to grow and develop your skills. We offer a competitive salary range of $83,000 to $110,000, as well as a comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO.</p>\n<p>If you are a motivated and detail-oriented individual who is passionate about working with cutting-edge technology, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2ab9c635-07a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4617382006","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$83,000 to $110,000","x-skills-required":["Linux system administration","Troubleshooting hardware and software issues","System maintenance tasks","Scripting languages (bash, python, powershell, etc)","Grafana, Prometheus, promsql queries or similar observability platforms"],"x-skills-preferred":["Kubernetes administration","HPC - administering GPU-related workloads","Data center environments including server racks, HVAC systems, fiber trays"],"datePosted":"2026-04-18T15:51:55.238Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY /Plano, TX /  Bellevue, WA / Sunnyvale, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux system administration, Troubleshooting hardware and software issues, System maintenance tasks, Scripting languages (bash, python, powershell, etc), Grafana, Prometheus, promsql queries or similar observability platforms, Kubernetes administration, HPC - administering GPU-related workloads, Data center environments including server racks, HVAC systems, fiber trays","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":83000,"maxValue":110000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4a92ac8-90f"},"title":"Senior Engineer, Compute Services (Kubernetes, Bare Metal)","description":"<p>As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. You will design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal, use Python, Golang, and Bash to create tooling and go operators, perform day 2 lifecycle tasks and maintenance on running clusters, identify gaps and implement fault-tolerant architectures, optimize reliability using the Grafana ecosystem, design automated testing to validate build quality and stability, and participate in an on-call rotation every two months serving as point of contact.</p>\n<p>Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. We&#39;re looking for someone with proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, proficiency in Golang, Bash, and Python, advanced Linux OS troubleshooting skills, extensive experience with Ansible, advanced DevOps experience (e.g., GitLab CI, GitHub Actions), demonstrated ability to collaborate effectively on shared codebases, excellent documentation skills and high attention to detail, strong analytical and problem-solving abilities, and experience participating in an on-call rotation to support production services.</p>\n<p>The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid Life Insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible Spending Account, Health Savings Account, tuition reimbursement, ability to participate in Employee Stock Purchase Program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e4a92ac8-90f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4556808006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$182,000 to $242,000","x-skills-required":["provisioning Kubernetes","kubeadm","Cluster API","Kubeception","Kubespray","Python","Golang","Bash","Ansible","DevOps","GitLab CI","GitHub Actions","collaboration","documentation","problem-solving","on-call rotation"],"x-skills-preferred":["bare-metal OS provisioning","Kubernetes operator coding","advanced Linux networking expertise","AWX/Ansible tower knowledge"],"datePosted":"2026-04-18T15:50:21.721Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"provisioning Kubernetes, kubeadm, Cluster API, Kubeception, Kubespray, Python, Golang, Bash, Ansible, DevOps, GitLab CI, GitHub Actions, collaboration, documentation, problem-solving, on-call rotation, bare-metal OS provisioning, Kubernetes operator coding, advanced Linux networking expertise, AWX/Ansible tower knowledge","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_372999e8-579"},"title":"Senior Software Engineer II, AI Workload Orchestration","description":"<p>As a Senior Software Engineer II on the AI Workload Orchestration team, you will help build and operate CoreWeave&#39;s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.</p>\n<p>This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. 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We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_372999e8-579","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4647595006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Kubernetes","Go","Distributed systems","Cloud infrastructure","Platform engineering","Scheduling","Resource management","Quota-based systems"],"x-skills-preferred":["Kueue","Volcano","Ray","Kubeflow","Argo Workflows","GPU-based workloads","ML training","Inference pipelines","SLOs","Alerting","Incident response","AI infrastructure","HPC","Large-scale distributed compute environments"],"datePosted":"2026-04-18T15:50:19.636Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Distributed systems, Cloud infrastructure, Platform engineering, Scheduling, Resource management, Quota-based systems, Kueue, Volcano, Ray, Kubeflow, Argo Workflows, GPU-based workloads, ML training, Inference pipelines, SLOs, Alerting, Incident response, AI infrastructure, HPC, Large-scale distributed compute environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3d21497f-133"},"title":"Quality Specialist, Intelligence Systems","description":"<p>We are seeking a Quality Specialist to join our Product Quality Team in Santa Ana. 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You will partner across the organisation and help prioritise process and product quality issues that impact the effectiveness of the incoming materials inspection process.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing the site Materials Review Board (MRB) process</li>\n<li>Inspecting to verify non-conforming parts at Reston Site and at Supplier Sites as assigned</li>\n<li>Partnering with Site Supplier Quality Engineering Organisation to support Supplier Quality Control</li>\n<li>Assisting in the root cause analysis</li>\n<li>Assisting in the dispositioning of non-conforming material and ensuring the tasks are completed in a timely manner</li>\n<li>Managing internal re-work to support dispositions</li>\n<li>Ensuring data collection and entry is accurate and complete for the MRB process</li>\n<li>Communicating the process performance and quality issues to key stakeholders to drive improvements</li>\n<li>Executing vendor return material authorisation (RMA) with partnership between Warehouse and Buyers to ensure material leaves the MRB area for suppliers</li>\n<li>Performing Verification of First Article Inspection (FAI) on incoming material and coordinating acceptance of FAI data submitted by suppliers</li>\n<li>Managing quality containment process for material, tooling, and inspection equipment that are involved in non-conformances impacting production capacity and capability</li>\n<li>Creating inspection plans for incoming material, in-process inspection steps, and end of line inspection, as per direction from product quality engineers. Execute inspection as needed</li>\n<li>Training technicians and inspectors to execute inspection plans and data capture in the process</li>\n<li>Proposing, developing and implementing quality assurance policies and procedures and reviewing with the product quality engineers</li>\n<li>Reviewing and proposing continuous improvement projects for productivity gains, quality improvements, and benefits to Anduril&#39;s quality policy</li>\n<li>Supporting the calibration process by conducting recalls, managing the calibration database, and logistics with third party calibration services, as per the direction of the product quality engineers</li>\n<li>Deep diving into data and traceability investigations to identify trends, oddities, inconsistencies, and variation that impacts the effectiveness of processes, procedures, and product quality</li>\n<li>Staying current with new inspection technologies and techniques and recommending improvements to the inspection process</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Associate degree or equivalent in a related field, or equivalent experience</li>\n<li>5+ years of experience in metrology inspection or quality role</li>\n<li>Experience with production support and quality management</li>\n<li>Proficiency with computer-aided design (CAD) software and inspection data management software</li>\n<li>Ability to work independently and as part of a team</li>\n<li>Attention to detail and strong organisational skills</li>\n<li>Experience with calibrated equipment (calipers, micrometers, CMM, Faro arm, OMM, etc.)</li>\n<li>Knowledge &amp; understanding of dimensioning and tolerancing as per Geometric Dimensioning and Tolerancing (GD&amp;T)</li>\n<li>Experience reading and interpreting engineering drawings (wire diagrams, work instructions, CAD)</li>\n<li>Analyzing inspection results and providing feedback to production, manufacturing engineering, and quality engineering departments</li>\n<li>Experience using investigative equipment such as x-ray inspection, digital characterisation, material certificate of compliance, etc.</li>\n<li>Experience in a facility with AS9100, ISO9001, IATF 16949 or similar QMS standard</li>\n<li>Experience with validation and testing assemblies and their components</li>\n<li>Experience with communicating with suppliers and cross-functional teams</li>\n<li>Currently possesses and is able to maintain an active U.S. Secret security clearance</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Technical or Associates degree in related quality/mechanical/aerospace engineering field</li>\n<li>ASQ Certified Quality Engineer, Quality Improvement Associate, or equivalent</li>\n<li>IPC-A-610 or IPC-A-620 Certification</li>\n<li>Knowledge of 6 sigma, TQM, TPS, Lean, Low Rate Production</li>\n<li>Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses)</li>\n<li>Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD)</li>\n<li>Experience with auditing processes and procedures in a manufacturing environment</li>\n<li>Detail-oriented self-starter with minimal oversight</li>\n<li>Strong ability to communicate with different cross-functional teams</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3d21497f-133","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.andurilindustries.com/","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5058651007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$47.11-$62.50 USD","x-skills-required":["metrology inspection","quality management","computer-aided design (CAD)","inspection data management software","dimensioning and tolerancing","Geometric Dimensioning and Tolerancing (GD&T)","x-ray inspection","digital characterisation","material certificate of compliance","AS9100","ISO9001","IATF 16949","validation and testing assemblies","communicating with suppliers","cross-functional teams","U.S. Secret security clearance"],"x-skills-preferred":["6 sigma","TQM","TPS","Lean","Low Rate Production","inspection of Electrical and Electronic Components","Manufacturing processes","auditing processes and procedures","detail-oriented self-starter","strong communication skills"],"datePosted":"2026-04-18T15:49:49.156Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Ana, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"metrology inspection, quality management, computer-aided design (CAD), inspection data management software, dimensioning and tolerancing, Geometric Dimensioning and Tolerancing (GD&T), x-ray inspection, digital characterisation, material certificate of compliance, AS9100, ISO9001, IATF 16949, validation and testing assemblies, communicating with suppliers, cross-functional teams, U.S. Secret security clearance, 6 sigma, TQM, TPS, Lean, Low Rate Production, inspection of Electrical and Electronic Components, Manufacturing processes, auditing processes and procedures, detail-oriented self-starter, strong communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_95061695-858"},"title":"Director of Engineering, Media & Entertainment (M&E)","description":"<p>CoreWeave is seeking a Director of Engineering, Media &amp; Entertainment (M&amp;E) to lead the development of next-generation cloud platforms and tools that power modern content creation workflows. This role will drive the engineering strategy and execution for solutions that support visual effects (VFX), animation, rendering, and post-production pipelines used by studios, artists, and creative teams worldwide.</p>\n<p>As a senior engineering leader, you will build and lead high-performing engineering teams responsible for designing scalable infrastructure, developer tools, and user-facing systems that enable creative professionals to run complex production workloads in the cloud. You will collaborate closely with product, design, infrastructure, and customer teams to translate real-world production workflows into reliable, high-performance software platforms.</p>\n<p>This role combines deep engineering leadership with domain expertise in M&amp;E workflows, ensuring that the platform delivers exceptional performance, reliability, and usability for demanding creative workloads.</p>\n<p><strong>Leadership &amp; Strategy</strong></p>\n<p>-Build and scale high-performing engineering teams focused on cloud platforms for media production workloads including rendering, simulation, and content processing. -Recruit, mentor, and develop engineering managers and senior engineers while fostering a culture of innovation, accountability, and collaboration. -Define and execute the long-term engineering strategy for Media &amp; Entertainment products and services. -Partner with Product and Design leaders to translate industry workflows and customer needs into scalable platform capabilities. -Establish engineering best practices for reliability, security, observability, and operational excellence. -Drive roadmap alignment between engineering initiatives and strategic business objectives.</p>\n<p><strong>Technical Leadership</strong></p>\n<p>-Lead the design and development of scalable backend services, APIs, and developer interfaces that power M&amp;E cloud workflows. -Build platforms that support demanding workloads such as rendering, asset processing, and distributed compute pipelines. -Drive architecture decisions for cloud-native systems leveraging technologies such as Kubernetes, distributed services, and infrastructure-as-code. -Ensure the platform enables self-service provisioning, automation, and repeatable workflows for production pipelines. -Establish engineering standards around performance, scalability, and security for enterprise-grade SaaS/PaaS systems. -Oversee system reliability and operational readiness through clear SLOs, monitoring, and runbook-driven on-call practices.</p>\n<p><strong>Product &amp; Workflow Collaboration</strong></p>\n<p>-Work closely with product leadership to define technical requirements aligned with real customer workflows in animation, VFX, and media production. -Engage directly with studios, artists, and technical directors to understand pipeline challenges and incorporate feedback into product development. -Translate industry needs into clear engineering priorities and technical roadmaps. -Guide development teams through product milestones including specification, development, testing, and release. -Ensure engineering efforts balance customer requirements, technical feasibility, and business goals.</p>\n<p>Customer and industry collaboration is critical in identifying workflow needs and transforming them into actionable development plans for engineering teams.</p>\n<p><strong>Operational Excellence</strong></p>\n<p>-Implement engineering processes that support scalable development, including CI/CD pipelines, testing strategies, and code review standards. -Manage development timelines and resource allocation across multiple engineering teams. -Track key operational and customer metrics including performance, reliability, and cost efficiency. -Drive continuous improvement in engineering productivity and system performance. -Partner with QA, support, and customer success teams to ensure high-quality releases and strong user satisfaction.</p>\n<p><strong>Who You Are:</strong></p>\n<p><strong>Required Qualifications</strong></p>\n<p>-10+ years of software engineering experience, including leadership of engineering teams and managers -Proven experience building and scaling cloud-based platforms or distributed systems. -Strong understanding of cloud infrastructure, microservices architecture, and automation technologies. -Experience delivering enterprise SaaS or PaaS products used by external customers. -Excellent leadership, communication, and cross-functional collaboration skills. -Ability to operate strategically while remaining deeply technical and hands-on with architecture decisions.</p>\n<p><strong>Preferred Qualifications</strong></p>\n<p>-Experience building platforms or tools for Media &amp; Entertainment workflows such as VFX, animation, rendering, or post-production pipelines. -Familiarity with industry tools such as Maya, Houdini, Katana, Cinema 4D, V-Ray, Arnold, or RenderMan. -Experience designing APIs, developer platforms, or automation frameworks used by technical users. -Knowledge of GPU-accelerated compute workloads and distributed rendering systems. -Experience working with Kubernetes, infrastructure-as-code, and large-scale cloud environments.</p>\n<p><strong>What Success Looks Like</strong></p>\n<p>-Engineering teams delivering reliable, scalable platforms used by media studios and creative teams globally. -Clear alignment between product vision, customer workflows, and engineering execution. -Platforms capable of supporting large-scale production workloads with high performance and reliability. -Strong engineering culture focused on innovation, collaboration, and operational excellence.</p>\n<p>Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match.</p>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<p>-Be Curious at Your Core -Act Like an Owner -Empower Employees -Deliver Best-in-Class Client Experiences -Achieve More Together</p>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_95061695-858","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4666156006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206,000 - $303,000","x-skills-required":["Cloud infrastructure","Microservices architecture","Automation technologies","Enterprise SaaS or PaaS products","Leadership","Communication","Cross-functional collaboration","Strategic decision-making"],"x-skills-preferred":["Media & Entertainment workflows","VFX, animation, rendering, or post-production pipelines","Industry tools such as Maya, Houdini, Katana, Cinema 4D, V-Ray, Arnold, or RenderMan","APIs, developer platforms, or automation frameworks","GPU-accelerated compute workloads and distributed rendering systems","Kubernetes, infrastructure-as-code, and large-scale cloud environments"],"datePosted":"2026-04-18T15:49:14.916Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud infrastructure, Microservices architecture, Automation technologies, Enterprise SaaS or PaaS products, Leadership, Communication, Cross-functional collaboration, Strategic decision-making, Media & Entertainment workflows, VFX, animation, rendering, or post-production pipelines, Industry tools such as Maya, Houdini, Katana, Cinema 4D, V-Ray, Arnold, or RenderMan, APIs, developer platforms, or automation frameworks, GPU-accelerated compute workloads and distributed rendering systems, Kubernetes, infrastructure-as-code, and large-scale cloud environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":303000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f249232-d14"},"title":"Principal Engineer, Cluster Orchestration","description":"<p>As a Principal Engineer in AI Infrastructure, you will lead the design and evolution of the cluster orchestration systems that make this possible. This includes Slurm, Kubernetes, SUNK, and the control planes that support AI training, inference, and model onboarding at scale.</p>\n<p>You will define long-term architecture, solve hard scaling problems, and set technical direction across teams. Your work will directly affect how quickly customers can run models, how efficiently we use GPUs, and how reliably the platform behaves at scale.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining the long-term architecture for CoreWeave&#39;s orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems.</li>\n<li>Acting as a technical authority on scheduling, quota enforcement, fairness, pre-emption, and multi-tenant GPU isolation.</li>\n<li>Making design decisions that balance performance, reliability, cost, and operational complexity.</li>\n</ul>\n<p>In addition to these responsibilities, you will also lead the evolution of Kubernetes-native control planes, including SUNK and custom operators, and design systems that support workload admission, validation, and rollout, including model onboarding flows.</p>\n<p>You will work closely with cross-functional teams to ensure that the systems you design and implement meet the needs of our customers and are scalable, reliable, and efficient.</p>\n<p>If you have a passion for building large-scale distributed systems and are looking for a challenging and rewarding role, we encourage you to apply.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f249232-d14","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4658799006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206,000 to $303,000","x-skills-required":["Kubernetes","Slurm","SUNK","Go","Cloud-native systems development","GPU-heavy platforms for AI training, inference, or HPC workloads"],"x-skills-preferred":["Kueue","Kubeflow","Argo Workflows","Ray","Istio","Knative"],"datePosted":"2026-04-18T15:48:07.140Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA / Sunnyvale, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Slurm, SUNK, Go, Cloud-native systems development, GPU-heavy platforms for AI training, inference, or HPC workloads, Kueue, Kubeflow, Argo Workflows, Ray, Istio, Knative","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":303000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b01c809-8ef"},"title":"Staff Machine Learning Systems Engineer","description":"<p>As a Staff Machine Learning Systems Engineer at Reddit, you will lead the development of a platform for large-scale ML models. Your responsibilities will include designing end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, zero-to-one development and support of a graph ML codebase and platform, collaborating with ML engineers on performance tuning, optimizing batch data processing, and architecting pipelines to build and maintain massive graph data structures.</p>\n<p>We are looking for an experienced engineer with 8+ years of experience in ML infrastructure, including model training and model deployments. You should have hands-on experience with ML optimization, cloud-based technologies, MLOps tools, and proficiency with common programming languages and frameworks of ML. Strong focus on scalability, reliability, performance, and ease of use is essential.</p>\n<p>In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3b01c809-8ef","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7731788","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$230,000-$322,000 USD","x-skills-required":["ML infrastructure","model training","model deployments","ML optimization","cloud-based technologies","MLOps tools","Python","PyTorch","Tensorflow"],"x-skills-preferred":["graph ML codebase and platform","Apache Beam","Apache Spark","Ray Data"],"datePosted":"2026-04-18T15:47:03.069Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ML infrastructure, model training, model deployments, ML optimization, cloud-based technologies, MLOps tools, Python, PyTorch, Tensorflow, graph ML codebase and platform, Apache Beam, Apache Spark, Ray Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":322000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fc38e24f-97e"},"title":"Senior Machine Learning Engineer","description":"<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Ads Engineering team. As a key member of our team, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems, intelligent advertising systems, and large-scale machine learning pipelines.</p>\n<p>Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.</p>\n<p>As a Senior Machine Learning Engineer, you will:</p>\n<ul>\n<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>\n<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n<li>Improve system performance across latency, throughput, and model quality metrics</li>\n<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n<li>Experience improving measurable metrics through applied machine learning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>\n<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>\n<li>Experience working with real-time systems and low-latency production environments</li>\n<li>Background in feature engineering, model optimization, and production monitoring</li>\n<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>\n<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>\n</ul>\n<p>Potential Teams:</p>\n<ul>\n<li>Ads Measurement Modeling</li>\n<li>Ads Targeting and Retrieval</li>\n<li>Advertiser Optimization</li>\n<li>Ads Marketplace Quality</li>\n<li>Ads Creative Effectiveness</li>\n<li>Ads Foundational Representations</li>\n<li>Ads Content Understanding</li>\n<li>Ads Ranking</li>\n<li>Feed Relevance</li>\n<li>Search and Answers Relevance</li>\n<li>ML Understanding</li>\n<li>Notifications Relevance</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $216,700-$303,400 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fc38e24f-97e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/6960831","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,700-$303,400 USD","x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs","Spark","Kafka","Ray","Airflow","BigQuery","Redis"],"x-skills-preferred":["Recommender systems","Search/ranking systems","Advertising/auction systems","Large-scale representation learning","Multimodal embedding systems","Distributed systems","Large-scale data processing","Real-time systems","Low-latency production environments","Feature engineering","Model optimization","Production monitoring","LLM/Gen AI techniques","LLM evaluation","Alignment","Fine-tuning","Knowledge distillation","RAG/agentic systems"],"datePosted":"2026-04-18T15:45:58.533Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Go, PyTorch, TensorFlow, XGBoost, Random Forests, Regressions, Transformers, CNNs, GNNs, Spark, Kafka, Ray, Airflow, BigQuery, Redis, Recommender systems, Search/ranking systems, Advertising/auction systems, Large-scale representation learning, Multimodal embedding systems, Distributed systems, Large-scale data processing, Real-time systems, Low-latency production environments, Feature engineering, Model optimization, Production monitoring, LLM/Gen AI techniques, LLM evaluation, Alignment, Fine-tuning, Knowledge distillation, RAG/agentic systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216700,"maxValue":303400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cdd2fbec-490"},"title":"Member of Technical Staff - Mid-training","description":"<p><strong>About xAI</strong></p>\n<p>xAI&#39;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.</p>\n<p>Our team is small and highly motivated, focused on engineering excellence. We operate with a flat organisational structure, where all employees are expected to be hands-on and contribute directly to the company&#39;s mission.</p>\n<p><strong>Responsibilities</strong></p>\n<p>We&#39;re looking for a Member of Technical Staff to join our team. Key responsibilities include:</p>\n<p>Scaling synthetic coding data to trillions of tokens with large-scale Docker verification. Distilling the intelligence of flagship models into flash models through synthetic data generation. Optimising mid-training data mixtures to boost the ceiling for RL. Engineering long-context data recipes. Developing robust and diverse evaluation for mid-training checkpoints.</p>\n<p><strong>Basic Qualifications</strong></p>\n<p>To be successful in this role, you&#39;ll need:</p>\n<p>Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.</p>\n<p><strong>Compensation and Benefits</strong></p>\n<p>The base salary for this role is $180,000 - $440,000 USD. Our total rewards package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cdd2fbec-490","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4965893007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["ML","large model scaling","Docker verification","synthetic data generation","Spark","Ray"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:42.841Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ML, large model scaling, Docker verification, synthetic data generation, Spark, Ray","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28b01ce3-8a3"},"title":"Member of Technical Staff - Imagine Model","description":"<p>As a Member of Technical Staff on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences).</li>\n<li>Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data.</li>\n<li>Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence.</li>\n<li>Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content.</li>\n<li>Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.</li>\n<li>Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling.</li>\n<li>Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.</li>\n<li>Experience developing or working with large-scale distributed machine learning systems.</li>\n<li>Ability to deliver optimal end-to-end user experiences.</li>\n<li>Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.</li>\n<li>Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.</li>\n<li>Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).</li>\n<li>Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_28b01ce3-8a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5051985007","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - 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Multimodal Understanding","description":"<p><strong>About the Role</strong></p>\n<p>You will join the multimodal team to push toward superhuman multimodal intelligence. Advance understanding and generation across modalities,image, video, audio, and text,spanning the full stack: data curation/acquisition, tokenizer training, large-scale pre-training, post-training/alignment, infrastructure/scaling, evaluation, tooling/demos, and end-to-end product experiences.</p>\n<p>Collaborate cross-functionally with pre-training, post-training, reasoning, data, applied, and product teams to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration. Contribute to building models that can see, hear, reason about, and interact with the world in real time at unprecedented levels.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale.</li>\n<li>Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text).</li>\n<li>Advance multimodal capabilities including spatial-temporal compression, cross-modal alignment, world modeling, reasoning, emergent abilities, audio/image/video understanding &amp; generation, real-time video processing, and noisy data handling.</li>\n<li>Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models.</li>\n<li>Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy.</li>\n<li>Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance.</li>\n<li>Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback.</li>\n<li>Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).</li>\n<li>Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.</li>\n<li>Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).</li>\n<li>Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.</li>\n<li>Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).</li>\n<li>Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.</li>\n<li>Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.</li>\n</ul>\n<p><strong>Preferred Skills and Experience</strong></p>\n<ul>\n<li>Experience leading major improvements in model capabilities through better data, modeling, algorithms, or scaling.</li>\n<li>Familiarity with state-of-the-art in multimodal LLMs, scaling laws, tokenizers, compression techniques, reasoning, or agentic systems.</li>\n<li>Proficiency in Rust and/or C++ for performance-critical components.</li>\n<li>Hands-on work with large-scale orchestration tools such as Spark, Ray, or Kubernetes.</li>\n<li>Background building full-stack tooling: performant interfaces, real-time research demos/apps, or end-to-end product ownership.</li>\n<li>Passion for end-to-end user experience in interactive, real-time multimodal AI systems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_540ce49c-271","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5111374007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - 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These datasets are used to power our generative audio models.</p>\n<p>Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centres on high-impact bulk ingestion and advanced data linkage. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company.</p>\n<p>You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords, and,where beneficial,distributed systems frameworks like Ray. 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We are looking for a failure analysis engineer to join our team, focused on the design, integration and troubleshooting of electronics systems critical to our aircraft.</p>\n<p>This role is perfect for an engineer with a solid foundation in power systems, embedded systems who is eager to grow, own challenging projects, and see their work move rapidly from concept to flight. If you thrive in fast-paced environments, enjoy solving complex problems, and want to help build the future of autonomous aviation, we want to hear from you.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead failure analysis investigations for avionics hardware, including: PCBAs (digital, analog, power, mixed-signal), harnesses, connectors, and interconnects</li>\n<li>Perform root cause analysis (RCA) using structured methodologies (8D, 5-Why, Fishbone, Fault Tree, etc.)</li>\n<li>Conduct and/or oversee electrical, mechanical, and environmental failure analysis</li>\n<li>Collaborate with design engineers to identify design vulnerabilities, manufacturing and suppliers on process-related issues</li>\n<li>Work closely with cross-functional teams (reliability, mechanical, embedded, software, production, supply chain, etc.)</li>\n<li>Drive design, process, and supplier corrective actions to closure</li>\n<li>Author clear, data-driven failure analysis reports and present findings to technical and program leadership</li>\n<li>Mentor junior engineers and help establish best practices for failure analysis and reliability</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>Bachelor’s degree in electrical engineering; or equivalent work experience</li>\n<li>8+ years of experience in failure analysis, reliability, or hardware debug for aerospace, defense, or high-reliability electronics</li>\n<li>Strong technical fundamentals</li>\n<li>Experienced with cross-sectioning, microscopy, X-ray, and other FA techniques</li>\n<li>Strong hands-on experience with PCBA failure mechanisms (solder joints, vias, components, PCB materials), Harnesses, connectors, crimping, shielding, and interconnect reliability</li>\n<li>Demonstrated track record of extreme ownership, working hard, and delivering outstanding outcomes</li>\n<li>A track record of successfully delivery of products and solutions, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment</li>\n<li>Proactively identify opportunities for improvement within organization, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and aircraft reliability</li>\n<li>Ability to independently drive investigations from symptom to root cause</li>\n</ul>\n<p>$150,000 - $220,000 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_94470529-e1d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/d12619b5-ab54-4797-9d1c-9b0a6ab3a281","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$150,000 - $220,000 a year","x-skills-required":["Failure analysis","Reliability","Hardware debug","Aerospace","Defense","High-reliability electronics","Cross-sectioning","Microscopy","X-ray","PCBA failure mechanisms","Harnesses","Connectors","Crimping","Shielding","Interconnect reliability"],"x-skills-preferred":[],"datePosted":"2026-04-17T13:02:21.764Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Failure analysis, Reliability, Hardware debug, Aerospace, Defense, High-reliability electronics, Cross-sectioning, Microscopy, X-ray, PCBA failure mechanisms, Harnesses, Connectors, Crimping, Shielding, Interconnect reliability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c606dc7-2e2"},"title":"Engineer II, Electrical Failure Analysis","description":"<p>Shield AI is pioneering AI pilots for aircraft that protect service members and civilians. We&#39;re looking for a failure analysis engineer to join our team, focused on the design, integration, and troubleshooting of electronics systems critical to our aircraft.</p>\n<p>This role is perfect for an engineer with a solid foundation in power systems and embedded systems who is eager to grow, own challenging projects, and see their work move rapidly from concept to flight. 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You will work closely with other technicians and engineers to ensure every part meets strict cosmetic and dimensional specifications.</p>\n<p>Key Responsibilities:\nPerform surface finishing operations on composite parts, including wet layup, filling, sanding, spraying gelcoat and refining the surface.\nMix and apply surface fillers, and gelcoat per process requirements\nSand and smooth complex contours while maintaining tolerance and surface quality\nIdentify and repair surface defects such as pinholes, delamination, or surface voids using tap tests\nPrepare parts for painting, bonding, or assembly through proper surface treatment\nFollow detailed work instructions, drawings, and engineering specifications\nMaintain cleanliness and organization in finishing areas; manage dust control systems\nCollaborate with the quality team to ensure finished parts meet visual and dimensional standards\nFollow procedures and track time on a tablet.</p>\n<p>Requirements:\n2+ years of experience in marine composite finishing, surfacing, or similar hands-on fabrication work\nStrong experience with sanding tools, fairing materials, and manual finishing techniques\nAbility to achieve Class A or near-Class A surface finishes (preferred but not required)\nHigh attention to detail and patience for repetitive, fine-surface work\nFamiliarity with epoxy-based fillers, primers, and surface prep chemicals\nAbility to read and interpret technical drawings and work instructions\nU.S. Person (citizen or permanent resident) required due to DoD-related work</p>\n<p>Preferred Qualifications:\nExperience in marine composite surfacing\nFamiliarity with MIL-SPEC or AS9100 quality standards\nExperience using DA sanders, longboards, and vacuum-assisted finishing tools\nUnderstand how to use Binks &amp; MVP spray equipment\nBackground in paint prep or bonded surface prep is a plus\nExperience working with gel coats, topcoats, or marine-grade finishes</p>\n<p>Benefits:\nMedical Insurance: Comprehensive health insurance plans covering a range of services\nSaronic pays 100% of the premium for employees and 80% for dependents\nDental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care\nSaronic pays 99% of the premium for employees and 80% for dependents\nTime Off: Generous PTO and Holidays\nParental Leave: Paid maternity and paternity leave to support new parents\nCompetitive Salary: Industry-standard salaries with opportunities for performance-based bonuses\nRetirement Plan: 401(k) plan\nStock Options: Equity options to give employees a stake in the company’s success\nLife and Disability Insurance: Basic life insurance and short- and long-term disability coverage\nAdditional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_13b2ac92-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/a67c98ca-974a-47cc-860b-4138c65722d9","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["marine composite finishing","surfacing","sanding tools","fairing materials","manual finishing techniques","epoxy-based fillers","primers","surface prep chemicals","technical drawings","work instructions"],"x-skills-preferred":["marine composite surfacing","MIL-SPEC or AS9100 quality standards","DA sanders","longboards","vacuum-assisted finishing tools","Binks & MVP spray equipment","paint prep","bonded surface prep","gel coats","topcoats","marine-grade finishes"],"datePosted":"2026-04-17T12:57:48.348Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"marine composite finishing, surfacing, sanding tools, fairing materials, manual finishing techniques, epoxy-based fillers, primers, surface prep chemicals, technical drawings, work instructions, marine composite surfacing, MIL-SPEC or AS9100 quality standards, DA sanders, longboards, vacuum-assisted finishing tools, Binks & MVP spray equipment, paint prep, bonded surface prep, gel coats, topcoats, marine-grade finishes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_157e42c1-83f"},"title":"Industrial Designer","description":"<p>Saronic Technologies is seeking an Industrial Designer to join our growing design team. 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We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives.</p>\n<p>What will you do?</p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. 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We know that some people hesitate to apply when they are not sure they meet all the requirements for a job. If you are unsure, take the leap! Share with us what you can bring to the project; we are eager to discover your unique talents, whether it&#39;s for this job or a future opportunity. Send your CV, cover letter, and achievements (professional and personal projects) via the form below.</p>\n<p>The next steps will be:</p>\n<ul>\n<li>Review of your application</li>\n<li>Technical test (if applicable)</li>\n<li>Interview with a member of the HR team (remote)</li>\n<li>Technical interview with the project leads (in person, when possible, and we will reimburse your travel expenses to Bordeaux)</li>\n</ul>\n<p>If you want to learn more about us, take a look at our LinkedIn page; there&#39;s a lot to discover about life at Asobo!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dd7d3631-560","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Asobo Studio","sameAs":"https://jobs.eu.lever.co"},"x-apply-url":"https://jobs.eu.lever.co/asobostudio/892bc61d-32f3-4284-9449-ef9d4be8d8e7","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Multi-threading","GPU rendering pipelines","Console APIs","Linear algebra 3D","TAA","Deferred rendering","Reflections","Global illumination"],"x-skills-preferred":["Profiling tools","Ray tracing software"],"datePosted":"2026-03-09T10:48:03.815Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bordeaux"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Multi-threading, GPU rendering pipelines, Console APIs, Linear algebra 3D, TAA, Deferred rendering, Reflections, Global illumination, Profiling tools, Ray tracing software"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5008b4f7-b62"},"title":"Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team","description":"<p>We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. 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If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.</p>\n<p>In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:</p>\n<ul>\n<li>Develop novel data collection strategies</li>\n<li>Improve dataset quality and integrity</li>\n<li>Understand data-driven model behaviors</li>\n<li>Train models to understand the impact of data and data mixes</li>\n<li>Align datasets with ethical and societal values</li>\n</ul>\n<p>This is a cross-disciplinary, high-impact role ideal for engineers and researchers who want to push the boundaries of what AI can learn from data.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.</li>\n<li>Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.</li>\n<li>Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.</li>\n<li>Build lightweight tools and workflows for dataset auditing, visualization, and versioning.</li>\n<li>Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.</li>\n</ul>\n<p>Embody our culture and values.</p>\n<p>Qualifications</p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.</li>\n<li>2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.</li>\n<li>Proficiency in statistics and exploratory data analysis methods.</li>\n<li>Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.</li>\n<li>Ability to communicate technical findings clearly to research and product teams.</li>\n</ul>\n<p>Software Engineering IC4</p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</li>\n</ul>\n<p>Software Engineering IC5</p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</li>\n</ul>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9ee6a205-e17","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-pretraining-text-data-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["Python","Pandas","NumPy","Spark","Ray","Apache Beam","Data Science","Statistics","Physics","Engineering"],"x-skills-preferred":["Data Analysis","Data Engineering","Exploratory Data Analysis"],"datePosted":"2026-03-08T22:20:10.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, Spark, Ray, Apache Beam, Data Science, Statistics, Physics, Engineering, Data Analysis, Data Engineering, Exploratory Data Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f0e01847-2e0"},"title":"Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team","description":"<p>We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you. In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:</p>\n<p>Develop novel data collection strategies</p>\n<p>Improve dataset quality and integrity</p>\n<p>Understand data-driven model behaviors</p>\n<p>Align datasets with ethical and societal values</p>\n<p>This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f0e01847-2e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-research-engineer-mai-superintelligence-team-4/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per 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next evolution of our personal AI, Copilot.</p>\n<p>This role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.</p>\n<p>Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.</p>\n<p>Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.</p>\n<p>Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.</p>\n<p>Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.</p>\n<p>Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.</p>\n<p><strong>Qualifications</strong></p>\n<p>Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience?</p>\n<p><strong>Preferred Qualifications</strong></p>\n<p>Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b151fcc2-2fb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft 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oriented, has strong communication and organizational skills, is great at coaching and mentoring and is passionate about automotive.</p>\n<p><strong>Duties and Responsibilities:</strong></p>\n<ul>\n<li>Training and Mentoring: Leads and mentors a team of trainee painters and prep technicians, providing on-the-job training, guidance on best practices, and instruction on established techniques and safety protocols.</li>\n</ul>\n<ul>\n<li>Quality Control &amp; Process Development: Continue to develop and implement painting processes to enhance efficiency and quality, conducting regular inspections of completed work, and providing constructive feedback to ensure adherence to high craftsmanship standards and manufacturer specifications. Responsible for maintaining and developing the training matrix and work instructions.</li>\n</ul>\n<ul>\n<li>Advanced Paint Application: The ability to execute paint repairs and custom finishes with autonomy, including applying sealers, primers, basecoats, clearcoats, and specialty coatings like metallic or pearlescent finishes.</li>\n</ul>\n<ul>\n<li>Surface Preparation: The ability to perform all aspects of surface preparation, including cleaning, sanding, masking, and removing imperfections to ensure optimal paint adhesion and a flawless finish.</li>\n</ul>\n<ul>\n<li>Follow all established safety procedures</li>\n</ul>\n<ul>\n<li>Adhering to Multimatic’s quality-focused attitude and work culture</li>\n</ul>\n<p><strong>Education and Experience:</strong></p>\n<ul>\n<li>5+ years of professional automotive painting experience, with supervisory experience</li>\n</ul>\n<ul>\n<li>Expertise in various paint systems (waterborne, solvent-based), spray gun operation, troubleshooting application issues</li>\n</ul>\n<ul>\n<li>Soft Skills: Strong leadership, communication, attention to detail, problem-solving, and organizational skills are crucial for managing a team and workflow efficiently.</li>\n</ul>\n<ul>\n<li>Detail oriented, self-motivated and resourceful</li>\n</ul>\n<ul>\n<li>Ability to lift up to 50 lbs</li>\n</ul>\n<ul>\n<li>Comfortable working in a dynamic team environment and providing/receiving constructive feedback</li>\n</ul>\n<ul>\n<li>Must be organized and adhere to deadlines</li>\n</ul>\n<p>This job posting is for an existing vacancy. 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You decide what is worth keeping, implement retention and compression, and delete what is not.</li>\n</ul>\n<p><strong>What we&#39;re looking for</strong></p>\n<p>We’re looking for someone who has built real systems at scale and cares about correctness, cost, and ergonomics.</p>\n<p>Strong signals include:</p>\n<ul>\n<li>Deep experience with Spark (Databricks or open-source Spark both count)</li>\n</ul>\n<ul>\n<li>Production experience with Ray Data</li>\n</ul>\n<ul>\n<li>Hands-on ownership of large data pipelines and storage systems</li>\n</ul>\n<ul>\n<li>Comfort debugging performance issues across client instrumentation, streaming, storage, and model-facing workflows, as well as, compute, storage, and networking layers</li>\n</ul>\n<ul>\n<li>Clear thinking about data modeling and long-term maintainability</li>\n</ul>\n<ul>\n<li>You have good judgment about when to patch and when to rebuild</li>\n</ul>\n<p>Nice to have</p>\n<ul>\n<li>Experience running or scaling ClickHouse</li>\n</ul>\n<ul>\n<li>Familiarity with dbt, Dagster, or similar orchestration and modeling tools</li>\n</ul>\n<p>We&#39;re in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d6450ee6-847","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/software-engineer-data-infrastructure","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Spark","Ray Data","data pipelines","storage systems","debugging performance issues","data modeling","long-term maintainability"],"x-skills-preferred":["ClickHouse","dbt","Dagster"],"datePosted":"2026-03-08T00:17:58.290Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Spark, Ray Data, data pipelines, storage systems, debugging performance issues, data modeling, long-term maintainability, ClickHouse, dbt, Dagster"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d37a7c7-d2a"},"title":"ML Infrastructure Engineer","description":"<p><strong>About the role</strong></p>\n<p>The ML Infrastructure team at Cursor builds large-scale compute, storage, and software infrastructure to support the company&#39;s work building the world&#39;s best agentic coding model. 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If so, please include their email here</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d37a7c7-d2a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/software-engineer-ml-infrastructure","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Typescript","Rust","Golang","Distributed storage","Networking infrastructure","Linux systems","Kubernetes"],"x-skills-preferred":["Nvidia GPUs","Infiniband","RoCE","Blackwell","Hopper-class hardware","Ray","Slurm"],"datePosted":"2026-03-08T00:17:18.553Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, 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benches</li>\n<li>Work on high voltage systems</li>\n<li>Electrical installation of the service park and pit garage</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Vocational training as an electrician or comparable qualification in the field of electronics</li>\n<li>Minimum 1 to 3 years of relevant work experience in the Motorsport sector</li>\n<li>Familiarity with systems such as MIL-Spec, Deutsch, Raychem, Souriau</li>\n<li>Fluent English both written and spoken is mandatory.</li>\n<li>Knowledge of Motorsport electrical standards and preferably high voltage usage</li>\n<li>Knowledge of MS Office (Excel, Access, Outlook).</li>\n<li>You complete tasks with minimal guidance and work under pressure to meet deadlines</li>\n<li>Show you can be part of a team and create a motivating environment</li>\n<li>High voltage Level 2 and IT knowledge</li>\n<li>Problem solving and diagnostic skills</li>\n</ul>\n<p><strong>Our Offer</strong></p>\n<ul>\n<li>Secure and long-term 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This role sits at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to develop novel data collection strategies, improve dataset quality and integrity, understand data-driven model behaviors, and align datasets with ethical and societal values.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets (data ablations) to assess their impact and determine the most effective data. You will also develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation. Additionally, you will analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. You will build lightweight tools and workflows for dataset auditing, visualization, and versioning. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you. In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. 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We&#39;re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Multimodal Infrastructure. The successful candidate will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. 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Collaborating with development teams and QA peers, you will coordinate project schedules, strategize tests, and manage project metrics. You will be an essential part of the knowledge transfer process and communication with the game team and partner groups.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Oversee project schedules and ensure timely delivery of milestones</li>\n<li>Balance scope, timelines and overall project quality</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>8+ years of experience in project management or team leadership roles in QA</li>\n<li>2+ years of people management experience</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e1b5f8ba-b10","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Development-Manager/210141","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["project management methodologies","bug tracking tools","stakeholder management and communication skills"],"x-skills-preferred":["white-box/gray-box testing techniques"],"datePosted":"2026-02-17T18:03:12.895Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"project management methodologies, bug tracking tools, stakeholder management and communication skills, white-box/gray-box testing techniques"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e81e241c-074"},"title":"Abschlussarbeit auf dem Gebiet der automatisierten Fehlererkennung von 1D-Simulationsergebnissen","description":"<p>Im Zuge der Abschlussarbeit sollen Ansätze zur automatisierten Fehlererkennung von 1D-Simulationsergebnissen entwickelt werden. Hierdurch soll der manuelle Aufwand zur Plausibilisierung von Ergebnissen reduziert und eine frühzeitige Erkennung von Fehlern ermöglicht werden. Dabei sollen Verfahren des unsupervised Machine Learning (z. B. Clustering) sowie gängige Methoden aus dem Bereich der Anomaly Detection umgesetzt, gegenübergestellt und bewertet werden. Die entwickelten Methoden sollen in eine Datenpipeline integriert werden, um einen laufenden Prozess zum Update des Baseline-Verhaltens zu ermöglichen. Die Arbeit umfasst die Literaturrecherche zum Stand der Technik, die Auswahl geeigneter Algorithmen, die Durchführung einer Sensitivitätsanalyse relevanter Signale sowie die Konzeption eines Validierungsframeworks. Abschließend wird die Umsetzbarkeit in einem Proof of Concept überprüft.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e81e241c-074","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=19379","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"Abschlussarbeit","x-salary-range":null,"x-skills-required":["Tensorflow","PyTorch","RayTune","Python","MATLAB"],"x-skills-preferred":["Tensorflow","PyTorch","RayTune","Python","MATLAB"],"datePosted":"2026-01-21T13:07:24.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"occupationalCategory":"Engineering","industry":"Automotive","skills":"Tensorflow, PyTorch, RayTune, Python, MATLAB, Tensorflow, PyTorch, RayTune, Python, MATLAB"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e58d3dac-515"},"title":"Software Controls Engineer","description":"<p>We are looking for a Software Controls Engineer to join our team. As a Software Controls Engineer, you will be responsible for analyzing system requirements to identify functional needs and software constraints. You will define and document software functional requirements in alignment with system requirements, design the software functional architecture, and develop control functions and algorithms using a Model-Based Design approach in MATLAB/Simulink/Stateflow.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Analyze system requirements to identify functional needs and software constraints.</li>\n<li>Define and document software functional requirements in alignment with system requirements.</li>\n<li>Design the software functional architecture by defining blocks, interfaces, and data flows within the MATLAB/Simulink/Stateflow environment.</li>\n<li>Develop control functions and algorithms using a Model-Based Design approach in MATLAB/Simulink/Stateflow.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Master’s degree or Engineering degree in Embedded Systems, Electromechanics, or a related field.</li>\n<li>Minimum of 2 years of experience in software development and testing using a Model-Based Design approach.</li>\n<li>Strong knowledge of ICE, xHEV, and BEV powertrain architectures.</li>\n<li>Solid understanding of ISO 26262 fundamentals (functional safety).</li>\n<li>Good knowledge of embedded communication protocols: CAN, LIN, FlexRay, UDS.</li>\n<li>Familiarity with ASPICE processes and requirements.</li>\n<li>Proficiency in CANoe for simulation, communication, and network testing.</li>\n<li>Strong analytical skills and ability to solve complex technical problems.</li>\n<li>Proactive mindset, strong sense of responsibility, and high level of commitment to projects.</li>\n<li>Fluent communication skills in both French and English.</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>As a Software Controls Engineer, you will play a key role in developing software solutions that will shape the future of mobility. You will work closely with internal teams and external partners to ensure consistency and continuity throughout the V-cycle development process. Your contributions will have a direct impact on the development of safe, efficient, and reliable software solutions that will benefit our customers and the environment.</p>\n<p><strong>About AVL</strong></p>\n<p>AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e58d3dac-515","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Maroc SARL AU","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Sala-Al-Jadida-Software-Controls-Engineer/1284860501/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Embedded Systems","Electromechanics","Model-Based Design","MATLAB/Simulink/Stateflow","ISO 26262","CAN","LIN","FlexRay","UDS","ASPICE","CANoe"],"x-skills-preferred":["Strong analytical skills","Proactive mindset","Fluent communication skills in both French and English"],"datePosted":"2026-01-21T13:03:34.922Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sala Al Jadida"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Embedded Systems, Electromechanics, Model-Based Design, MATLAB/Simulink/Stateflow, ISO 26262, CAN, LIN, FlexRay, UDS, ASPICE, CANoe, Strong analytical skills, Proactive mindset, Fluent communication skills in both French and English"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4fc1153-9fb"},"title":"SW Engineer for Advanced Driver Assistance Systems (ADAS)","description":"<p><strong>What you&#39;ll do</strong></p>\n<p>As the SW Engineer for Advanced Driver Assistance Systems (ADAS) at Porsche Engineering, you will be driving the software development lifecycle for cutting-edge ADAS solutions. Your responsibilities will encompass a diverse range of tasks, including architecture definition, prototyping, testing, and integration of ADAS software into vehicle systems.</p>\n<ul>\n<li>Develop SW for ADAS functions and SW algorithms for route planning and fleet management, including architecture definition, prototyping, and testing.</li>\n<li>Foster collaboration with cross-functional teams to integrate ADAS software into vehicle systems.</li>\n<li>Identify and leverage emerging technologies for ADAS and AD development in partnering with local startup and tech companies.</li>\n<li>Establish and maintain regular communication channels with customers and development teams located in different locations to foster seamless information exchange and collaboration throughout the ADAS validation and software development process.</li>\n<li>Stay abreast of industry trends and advancements in ADAS technology to inform future development efforts.</li>\n<li>Collaborate with key stakeholders to define, scope, prioritize, and successfully deliver major ADAS software initiatives that span multiple teams and organizations within Porsche Engineering.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Bachelor’s degree in Automotive, Informatics or Electrical Engineering</li>\n<li>3+ years of automotive industry experience in an engineering or related role</li>\n<li>3+ years of experience in development and testing of electric control units for vehicles</li>\n<li>Strong Experience with and knowledge of automotive systems and vehicle architecture within large automotive group</li>\n<li>Experience with associated diagnostic tools to analyze problems in vehicles</li>\n<li>Experience with data analysis and engineering evaluations</li>\n<li>Strong communication skills; ability to present complex subject matter to a wide range of audiences</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>This role is located in Carson, California. Porsche reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. 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When equipment fails, races can be lost, so your work directly impacts performance. You&#39;ll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you&#39;ll work with cutting-edge building systems and learn from the best in the industry.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f69abf94-ba6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Engineering Services North America, Inc.","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=18283","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong understanding of vehicle development and system development processes","In-depth knowledge of modern automotive technologies, including vehicle electrical architecture and onboard communication systems","Hands-on experience with CAN, LIN, FlexRay, and Ethernet-based vehicle networks","Proficiency with diagnostic and testing tools such as CANalyzer, CANoe, and ETAS MDA","Solid understanding of ECU hardware/software functionality and its interaction within complete vehicle systems"],"x-skills-preferred":["Expert knowledge of Porsche’s E/E architecture, including update, flashing, and coding procedures","Experience with Porsche proprietary testing systems and tools such as PIDT, PUDiS, PPN, FAZIT, Cluu, etc."],"datePosted":"2025-12-08T16:28:54.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Motorsport","skills":"Strong understanding of vehicle development and system development processes, In-depth knowledge of modern automotive technologies, including vehicle electrical architecture and onboard communication systems, Hands-on experience with CAN, LIN, FlexRay, and Ethernet-based vehicle networks, Proficiency with diagnostic and testing tools such as CANalyzer, CANoe, and ETAS MDA, Solid understanding of ECU hardware/software functionality and its interaction within complete vehicle systems, Expert knowledge of Porsche’s E/E architecture, including update, flashing, and coding procedures, Experience with Porsche proprietary testing systems and tools such as PIDT, PUDiS, PPN, FAZIT, Cluu, etc."},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9bc3d0a3-5ea"},"title":"Praktikum virtuelle Gesamtfahrzeugvalidierung - Fahrsimulation","description":"<p><strong>What you&#39;ll do</strong></p>\n<p>You&#39;ll be responsible for the implementation of an effective verification/validation management in vehicle projects and bear overall responsibility for a secure validation with physical and virtual methods in all phases of the product development process.</p>\n<p>In virtual vehicle validation, the latest vehicle concepts are evaluated from the customer&#39;s point of view. Real and virtual models are used to make specific vehicle functions experiential in the early phase of the product development process.</p>\n<p><strong>What you need</strong></p>\n<p>Your focal points are...</p>\n<ul>\n<li>Integration of vehicle functions into a driving simulator (e.g. highly automated driving)</li>\n<li>Optimization of a dynamic driving simulator (realistic driving behavior e.g. audio, motion cueing, visualization)</li>\n<li>Integration of components and control units into the system</li>\n<li>Virtual vehicle testing or other test studies</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>This role keeps a world-championship-winning F1 team running. When equipment fails, races can be lost, so your work directly impacts performance. You&#39;ll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you&#39;ll work with cutting-edge building systems and learn from the best in the industry.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9bc3d0a3-5ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=18306","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["MATLAB","MATLAB/Simulink","technical understanding for complex interconnected systems","programming experience in object-oriented programming languages (e.g. C# or C++)","ideally knowledge in the field of vehicle communication (CAN, CAN FD, FlexRay, Ethernet ...)"],"x-skills-preferred":["knowledge in the field of vehicle communication (CAN, CAN FD, FlexRay, Ethernet ...)"],"datePosted":"2025-12-08T16:26:13.861Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Motorsport","skills":"MATLAB, MATLAB/Simulink, technical understanding for complex interconnected systems, programming experience in object-oriented programming languages (e.g. C# or C++), ideally knowledge in the field of vehicle communication (CAN, CAN FD, FlexRay, Ethernet ...), knowledge in the field of vehicle communication (CAN, CAN FD, FlexRay, Ethernet ...)"}]}