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This role offers significant career growth.</p>\n<p>Principal Responsibilities:</p>\n<p>Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting, and implementation.</p>\n<p>Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.</p>\n<p>Independently explore and develop new alpha ideas while collaborating in a transparent and team-oriented environment.</p>\n<p>Preferred Technical Skillset:</p>\n<p>Strong research and programming skills, with proficiency in Python.</p>\n<p>Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.</p>\n<p>Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-ranked university. 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c7e58f60-5fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT LEad Program","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755953879362","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Python","Java","ML libraries","Pandas","NumPy","FastAPI","Boost","Spring Boot"],"x-skills-preferred":["Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field","Demonstrable passion for developing LLM-powered products","Hands-on experience building ML and data pipeline architectures","Understanding of distributed messaging systems","Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP 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The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.</p>\n<p>We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn&#39;t a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.</p>\n<p>Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Analyze large, messy behavioural events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.</li>\n</ul>\n<ul>\n<li>Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.</li>\n</ul>\n<ul>\n<li>Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.</li>\n</ul>\n<ul>\n<li>Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.</li>\n</ul>\n<ul>\n<li>Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.</li>\n</ul>\n<ul>\n<li>Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust &amp; Safety or TPM programs.</li>\n</ul>\n<ul>\n<li>Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.</li>\n</ul>\n<ul>\n<li>An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.</li>\n</ul>\n<ul>\n<li>Strong proficiency with AI coding assistants to accelerate data exploration and query writing.</li>\n</ul>\n<ul>\n<li>Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what&#39;s right for the business, not what&#39;s convenient.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting</li>\n</ul>\n<ul>\n<li>Experience working in marketplace or gig-economy platforms is a plus</li>\n</ul>\n<p>Compensation</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.</p>\n<p>Salary Range</p>\n<p>The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD</p>\n<p>Benefits</p>\n<p>You&#39;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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>About Us</p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p>We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</p>\n<p>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.</p>\n<p>Please see the United States Department of Labor&#39;s Know Your Rights poster for additional information.</p>\n<p>We comply with the United States Department of Labor&#39;s Pay Transparency provision.</p>\n<p>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. 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As an intern, you&#39;ll contribute to critical projects that directly enhance Stripe&#39;s suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and deploy large-scale machine learning systems that drive significant business value across various domains.</li>\n<li>Engage in the end-to-end process of designing, training, improving, and launching machine learning models.</li>\n<li>Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.</li>\n<li>Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.</li>\n<li>Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.</li>\n</ul>\n<p><strong>Who We&#39;re Looking For</strong></p>\n<ul>\n<li>A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2026 or spring/summer 2027.</li>\n<li>Practical experience with programming and machine learning, evidenced by projects, classwork, or research. 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You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.</p>\n<p>This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. 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The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)</li>\n<li>1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify</li>\n<li>Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)</li>\n<li>Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison</li>\n<li>Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment</li>\n<li>Clear communicator who can present quantitative results to both technical peers and business stakeholders</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)</li>\n<li>Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)</li>\n<li>Familiarity with alternative data in a research or investment context</li>\n<li>Experience with probability-of-success modeling, drug development decision analysis, or health economics</li>\n<li>Comfort with LLMs or AI/ML pipelines in a production or research setting</li>\n<li>Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)</li>\n</ul>\n<p><strong>Total Compensation Range:</strong> $154,500 - $202,000</p>\n<p>**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. 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The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $180,656-$248,360 USD</p>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance:</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</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_c1802213-f81","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8415203002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI","HuggingFace","LangChain","DSPy","pandas","scikit-learn","PyTorch","AWS","Azure","GCP","Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:10.995Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maryland; Virginia; Washington, D.C."}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe0d53c0-05e"},"title":"Delivery Solutions Architect","description":"<p>At Databricks, we are on a mission to empower our customers to solve the world&#39;s toughest data problems by utilizing the Lakehouse platform. 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Touch device users, explore by touch or with swipe gestures.</p>\n<p><strong>Software Engineer  - Silicon Validation Tools (SerDes)</strong></p>\n<p>Mississauga, Ontario, Canada</p>\n<p>Save</p>\n<p>Category: EngineeringHire Type: Employee</p>\n<p><strong>Job ID</strong> 16183<strong>Date posted</strong> 03/22/2026</p>\n<p><strong><strong>We Are:</strong></strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong><strong>You Are:</strong></strong></p>\n<p>You are a hands-on software engineer passionate about bridging the gap between hardware and software in high-speed silicon validation environments. You thrive in lab-heavy settings, working directly with advanced instruments and hardware abstraction layers. Your expertise in Python allows you to architect robust automation frameworks and reusable libraries, streamlining complex workflows and ensuring repeatable, high-quality results. You’re comfortable translating intricate MATLAB algorithms into efficient Python code, maintaining numerical equivalence and clear documentation for future maintainability. Your experience integrating C/C++ SDKs, DLLs, and libraries into Python empowers seamless cross-team collaboration with firmware and software teams worldwide. You are meticulous in your approach to code governance, CI/CD pipelines, and release management, ensuring that your code is reliable, maintainable, and well-documented.</p>\n<p>You communicate clearly, translating technical requirements into actionable solutions and collaborating across validation, SDK, firmware, and software teams. You are proactive in identifying opportunities for process improvement, championing best practices, and mentoring teammates. Your curiosity drives you to stay current with industry trends, and your adaptability shines in fast-paced environments where innovation and continuous improvement are valued. You are committed to delivering intuitive GUIs and data tools that empower your team to make informed decisions, reduce operator error, and streamline bench operations. With a strong foundation in high-speed SerDes technologies and lab instrumentation, you are ready to make a lasting impact on industry-leading IP and silicon validation processes.</p>\n<p><strong><strong>What You’ll Be Doing:</strong></strong></p>\n<ul>\n<li>Defining and maintaining Python automation architecture, folder/repo structure, and coding standards for lab environments.</li>\n</ul>\n<ul>\n<li>Building hardware-abstraction layers for lab instruments (J-BERT, oscilloscopes, pattern generators, power supplies) using VISA/SCPI and vendor APIs.</li>\n</ul>\n<ul>\n<li>Creating reusable libraries for test sequencing, calibration/adaptation flows, results logging, fault handling, and multi-bench resource scheduling.</li>\n</ul>\n<ul>\n<li>Translating MATLAB algorithms and calibration scripts into robust Python (NumPy/SciPy/Pandas), ensuring numerical equivalence and documenting migration notes.</li>\n</ul>\n<ul>\n<li>Developing and hardening drivers/wrappers for Keysight/Teledyne-LeCroy/R&amp;S instruments, including connection management, waveform acquisition, and compliance scripts.</li>\n</ul>\n<ul>\n<li>Integrating SDK C/C++ code, DLLs, and shared libraries into Python via ctypes/cffi/SWIG, collaborating with firmware teams to validate features and APIs.</li>\n</ul>\n<ul>\n<li>Managing code repositories (Git/Perforce), branching strategies, code reviews, release tagging, and CI/CD pipelines for linting, testing, and packaging.</li>\n</ul>\n<ul>\n<li>Building internal GUIs for bench control, run setup, live plots, and progress tracking, as well as data processing pipelines for quick-turn analysis and report generation.</li>\n</ul>\n<p><strong><strong>The Impact You Will Have:</strong></strong></p>\n<ul>\n<li>Accelerate SerDes bring-up and characterization through standardized Python automation and instrument libraries, reducing time-to-first-measurement and increasing bench throughput.</li>\n</ul>\n<ul>\n<li>Enhance efficiency and reliability of Silicon Validation processes with robust frameworks, CI-verified packages, and repeatable workflows.</li>\n</ul>\n<ul>\n<li>Improve test quality, reproducibility, and data analysis by shipping versioned tools, enforcing parity on MATLAB to Python conversions, and delivering clear analysis artifacts.</li>\n</ul>\n<ul>\n<li>Contribute directly to the success of high-speed, mixed-signal SerDes IP, enabling faster SDK/FW feature validation and higher confidence in release readiness.</li>\n</ul>\n<ul>\n<li>Support cutting-edge IP solutions that drive industry innovation by turning validation requirements into dependable software and GUIs adopted across benches.</li>\n</ul>\n<ul>\n<li>Streamline communication and day-to-day operations across Validation, FW, SDK, Software via documented interfaces, shared roadmaps, and predictable release notes.</li>\n</ul>\n<ul>\n<li>Increase code reuse and maintainability with a clear repo structure, a reusable hardware-abstraction layer, and shared GUI components that standardize user experience.</li>\n</ul>\n<ul>\n<li>Deliver intuitive, maintainable GUIs for bring-up and mass-char workflows, reducing operator error and enabling telemetry-driven improvements over time.</li>\n</ul>\n<ul>\n<li>Foster a culture of innovation and continuous improvement through mentorship, code reviews, documentation, and knowledge sharing within the validation team.</li>\n</ul>\n<p><strong><strong>What You’ll Need:</strong></strong></p>\n<ul>\n<li>2–6 years professional software engineering experience building automation frameworks or tooling in a hardware or lab environment.</li>\n</ul>\n<ul>\n<li>Strong proficiency in Python (OOP, packaging, virtual environments, logging, multithreading for instrument I/O).</li>\n</ul>\n<ul>\n<li>Experience controlling lab instruments via SCPI/VISA and vendor SDKs/APIs; comfortable with Windows and Linux benches.</li>\n</ul>\n<ul>\n<li>Proven skill integrating native libraries (C/C++ DLL/.so) into Python and debugging across the boundary.</li>\n</ul>\n<ul>\n<li>Solid practice with Git: code reviews, branching strategies, conflict resolution, and release tagging.</li>\n</ul>\n<ul>\n<li>Data skills: NumPy/Pandas, CSV/Parquet, plotting, and producing analysis artifacts usable by the team.</li>\n</ul>\n<ul>\n<li>Clear communicator who can translate validation requirements into robust software and collaborate across SDK, FW, and SW teams.</li>\n</ul>\n<p><strong><strong>Who You Are:</strong></strong></p>\n<ul>\n<li>Analytical thinker with strong problem-solving skills.</li>\n</ul>\n<ul>\n<li>Collaborative team player who thrives in cross-functional environments.</li>\n</ul>\n<ul>\n<li>Detail-oriented and organized in both code and documentation.</li>\n</ul>\n<ul>\n<li>Curious and eager to learn new technologies and methodologies.</li>\n</ul>\n<ul>\n<li>Adaptable, proactive, and comfortable with ambiguity and innovation.</li>\n</ul>\n<ul>\n<li>Effective communicator, able to translate complex requirements into actionable solutions.</li>\n</ul>\n<ul>\n<li>Mentor and knowledge sharer, fostering a culture of continuous improvement.</li>\n</ul>\n<p><strong><strong>The Team You’ll Be A Part Of:</strong></strong></p>\n<p>You’ll join the SerDes Silicon Validation team, a dynamic group of engineers dedicated to enabling high-speed IP innovation through rigorous hardware validation and software automation. The team works closely with worldwide software, firmware, and SDK teams, collaborating to deliver robust tools, frameworks, and GUIs that accelerate bring-up, characterization, and validation workflows. Together, you’ll drive advancements in silicon validation, empower efficient lab operations, and shape the future of high-performance IP solutions.</p>\n<p><strong><strong>Rewards and Benefits:</strong></strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. 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Our search engine is entirely invented in-house using transformers and generative LLMs.</p>\n<p><strong>Role Details</strong></p>\n<p>As an Analytics Engineer on the Offsite Search Optimization team, you will improve the e-commerce experience for hundreds of millions of users across the world by making it faster and more personalized. The team&#39;s mission is to bridge the gap between onsite product discovery and external discovery platforms, ensuring that Constructor-powered websites can be found, understood, and correctly represented by both Google and Generative engines.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO.</li>\n<li>Build the architecture to run technical checkups on customer websites, assess their optimisation level, and provide clear recommendations on what needs to be fixed.</li>\n<li>Partner with Product teams to adapt enriched content for SEO/GEO and package it toward external discoverability needs.</li>\n<li>Define an SEO/GEO enablement layer with tools, playbooks, and frameworks to scale best practices across teams and customers.</li>\n</ul>\n<p><strong>Challenges You Will Tackle</strong></p>\n<ul>\n<li>Complete visibility of the product discovery from external sources.</li>\n<li>Accurate measurement of organic, branded, AI-driven traffic.</li>\n<li>Create a unified model of landing pages.</li>\n<li>A framework for future SEO experiments (canonical tests, template variations, structured data tests).</li>\n<li>Internal tools that other teams can plug into.</li>\n<li>Run the adoption process of best practices to other teams</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong SQL and Python (requests, pandas, numpy, etc).</li>\n<li>Experience building data integrations between products.</li>\n<li>Experience with APIs &amp; auth (OAuth2, GA4 and Google Search Analytics API).</li>\n<li>Understanding of ETL/ELT workflows on PySpark.</li>\n<li>Building logic of data extraction from non-structured data (referrers, canonical URLs, page types).</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with BigQuery or similar.</li>\n<li>JS execution basics (how SSR/CSR affects crawlers).</li>\n<li>Knowledge of SEO fundamentals.</li>\n<li>Experience with BI systems (Looker/Metabase/Superset).</li>\n<li>Experience with logs or event handling systems</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work with smart and empathetic people who will help you grow and make a meaningful impact.</li>\n<li>Regular team offsite events to connect and collaborate.</li>\n<li>Fully remote team - choose where you live.</li>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office.</li>\n<li>Apple laptops provided for new employees.</li>\n<li>Training and development budget for every employee, refreshed each year.</li>\n<li>Maternity &amp; Paternity leave for qualified employees.</li>\n<li>Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.</li>\n<li>Stock options - offered in addition to the base salary</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_64038c66-5fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/3D5CFD97C6","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120K USD","x-skills-required":["SQL","Python","requests","pandas","numpy","APIs & auth","OAuth2","GA4","Google Search Analytics API","ETL/ELT workflows on PySpark","data extraction from non-structured data"],"x-skills-preferred":["BigQuery","JS execution basics","SEO fundamentals","BI systems","logs or event handling systems"],"datePosted":"2026-03-09T10:57:54.786Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, requests, pandas, numpy, APIs & auth, OAuth2, GA4, Google Search Analytics API, ETL/ELT workflows on PySpark, data extraction from non-structured data, BigQuery, JS execution basics, SEO fundamentals, BI systems, logs or event handling systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbafe9f0-ca5"},"title":"Merchant Intelligence Team Member","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a skilled Merchant Intelligence Team Member to join our team at Constructor. As a key member of our Merchant Intelligence team, you will play a critical role in helping merchandizers achieve their ecommerce goals, increasing satisfaction with their sites and retention of customers.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs.</li>\n<li>Perform data exploration and research user behavior.</li>\n<li>Implement end-to-end data pipelines to support real-time analytics for essential business metrics.</li>\n<li>Take part in product research and development, iterate with prototypes and customer product interviews.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You are proficient in BI tools (both data analysis and building dashboards for engineers and non-technical folks).</li>\n<li>You are keen to not just prepare more data, but to think critically about how that data can deliver valuable insights and drive impactful decisions for non-technical end users.</li>\n<li>You are an excellent communicator with the ability to translate business requests into technical language and vice versa.</li>\n<li>You are excited to leverage massive amounts of data to drive product innovation and deliver business value.</li>\n<li>You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas &amp; numpy, data visualization libraries)</li>\n<li>Practical familiarity with the big data stack (Spark, Hive, Databricks).</li>\n<li>You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying and focusing on relevant features and metrics.</li>\n<li>You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.</li>\n<li>You get excited to hear feedback from customers and figure out potential solutions.</li>\n<li>You&#39;re familiar with math statistics.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n<li>Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results</li>\n<li>Stock options - offered in addition to the base salary</li>\n<li>Regular team offsites to connect and collaborate</li>\n</ul>\n<p><strong>Diversity, Equity, and Inclusion at Constructor</strong></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_cbafe9f0-ca5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/84CF443B3D","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120k USD","x-skills-required":["BI tools","SQL","Python","pandas & numpy","data visualization libraries","Spark","Hive","Databricks"],"x-skills-preferred":["math statistics"],"datePosted":"2026-03-09T10:57:38.303Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BI tools, SQL, Python, pandas & numpy, data visualization libraries, Spark, Hive, Databricks, math statistics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@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. 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 multimodal data sources critical to model development. 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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 multimodal ingestion, preprocessing, filtering, and annotation.</li>\n<li>Analyze real-world multimodal 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 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_5008b4f7-b62","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-6/","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 analysis","Data engineering","Statistics","Exploratory data analysis"],"x-skills-preferred":["Data processing frameworks","Lightweight tools and workflows","Dataset auditing","Visualization","Versioning"],"datePosted":"2026-03-08T22:21:20.883Z","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 analysis, Data engineering, Statistics, Exploratory data analysis, Data processing frameworks, Lightweight tools and workflows, Dataset auditing, Visualization, Versioning","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_9ee6a205-e17"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<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. 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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 behaviours</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 Microsoft Superintelligence Team 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>Qualifications</p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 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</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_ddff1eba-17b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-member-of-technical-staff-pretraining-text-data-2/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Pandas","NumPy","data analysis","data engineering","statistics","exploratory data analysis"],"x-skills-preferred":["AI","Computer Science","Data Science","Statistics","Physics","Engineering"],"datePosted":"2026-03-08T22:12:15.833Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zürich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, data analysis, data engineering, statistics, exploratory data analysis, AI, Computer Science, Data Science, Statistics, Physics, Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_65fe2e6f-bd5"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<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.</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 behaviours</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 Microsoft Superintelligence Team 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>Qualifications</p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND technical 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revenue teams to translate business questions into rigorous analysis and clear recommendations.</li>\n<li>Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.</li>\n<li>Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.</li>\n</ul>\n<p><strong>Examples of what you could do</strong></p>\n<ul>\n<li>Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.</li>\n<li>Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.</li>\n<li>Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).</li>\n<li>Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.</li>\n</ul>\n<p><strong>Required skills and experience</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.</li>\n<li>4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.</li>\n<li>Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt</li>\n<li>Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).</li>\n<li>Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.</li>\n<li>Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).</li>\n<li>Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).</li>\n<li>Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.</li>\n<li>Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).</li>\n<li>Experience with attribution modelling, marketing mix modelling, or incrementality testing.</li>\n<li>Understanding of PLG (product-led growth) motions and self-serve conversion funnels.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience analysing freemium or usage-based pricing models.</li>\n<li>Understanding of developer tools, collaborative coding environments, or technical products.</li>\n<li>Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).</li>\n<li>Familiarity with customer data platforms (CDPs) and event tracking implementation.</li>\n<li>Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.</li>\n</ul>\n<p><strong>Full-Time Employee Benefits Include</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_fb622500-15e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/c05749db-f413-4091-a95c-c8e0aa1b5630","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180K - $250K","x-skills-required":["SQL","Python","data science libraries (pandas, scikit-learn, statsmodels, etc.)","ETL workflows using dbt","A/B tests and experiments","dashboard and visualisation tools (Looker, Tableau, Mode, etc.)"],"x-skills-preferred":["modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.)","growth analytics, marketing analytics, or conversion rate optimisation","marketing technology platforms (Google Analytics, Segment, Iterable, etc.)","attribution modelling, marketing mix modelling, or incrementality 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testing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c21aa9c-b37"},"title":"Software Engineer, Fleet Hardware Health","description":"<p><strong>Software Engineer, Fleet Hardware Health</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the team</strong></p>\n<p>The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.</p>\n<p><strong>About the role</strong></p>\n<p>As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.</p>\n<p>Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.</p>\n<p>Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and maintain automation systems for provisioning and managing server fleets.</li>\n</ul>\n<ul>\n<li>Develop tools to monitor server health, performance, and lifecycle events.</li>\n</ul>\n<ul>\n<li>Collaborate with clusters, networking, and infrastructure teams.</li>\n</ul>\n<ul>\n<li>Partner with external operators to ensure a high level of quality.</li>\n</ul>\n<ul>\n<li>Identify and fix performance bottlenecks and inefficiencies.</li>\n</ul>\n<ul>\n<li>Continuously improve automation to reduce manual work.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Experience managing large-scale server environments.</li>\n</ul>\n<ul>\n<li>A balance of strengths in building and operationalizing.</li>\n</ul>\n<ul>\n<li>Proficiency in Python, Go, or similar languages.</li>\n</ul>\n<ul>\n<li>Strong Linux, networking, and server hardware knowledge.</li>\n</ul>\n<ul>\n<li>Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.</li>\n</ul>\n<p><strong>Prior hardware expertise is not required for this role.</strong></p>\n<p><strong>Bonus Skills:</strong></p>\n<ul>\n<li>Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)</li>\n</ul>\n<ul>\n<li>Knowledge of hardware management protocols (e.g., IPMI, Redfish).</li>\n</ul>\n<ul>\n<li>High-performance computing (HPC) or distributed systems experience.</li>\n</ul>\n<ul>\n<li>Prior experience developing, managing, or designing hardware.</li>\n</ul>\n<ul>\n<li>Familiarity with monitoring tools (e.g., Prometheus, Grafana).</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity.  This role is critical to ensuring that our cutting-edge research supercomputing infrastructure runs smoothly, while maintaining reliability and grid-level power stability.</p>\n<p>Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers, ensuring efficient and reliable operations.</li>\n</ul>\n<ul>\n<li>Build automation to monitor power consumption patterns during training workloads and design algorithms to stabilize these fluctuations, preventing issues with grid reliability.</li>\n</ul>\n<ul>\n<li>Work with researchers and engineers to design tools for real-time monitoring, detection, and remediation of power-related hardware and system faults.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally to translate complex electrical system requirements into code, while driving continuous improvements in power management solutions.</li>\n</ul>\n<ul>\n<li>Drive the development of power throttling mechanisms at the IT system level to dynamically adjust power usage based on workload demands and infrastructure limitations.</li>\n</ul>\n<ul>\n<li>Collaborate with hardware design teams to integrate system-level power control requirements into IT hardware design, ensuring seamless coordination between software-driven power management and hardware capabilities.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>7+ years of software engineering experience with a focus on solving large-scale, system-level challenges.</li>\n</ul>\n<ul>\n<li>Strong proficiency in Python and familiarity with automation and scripting tools (e.g., shell scripting).</li>\n</ul>\n<ul>\n<li>Experience with distributed systems to efficiently aggregate and analyze streaming data.</li>\n</ul>\n<ul>\n<li>Knowledge of electrical engineering concepts including digital signal processing, power systems, Fast Fourier Transforms, or related areas.</li>\n</ul>\n<ul>\n<li>Experience in system-level investigations and development of automated solutions to address power management, fault detection, and remediation.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and the ability to dig into noisy data (experience with SQL, PromQL, Pandas, etc.).</li>\n</ul>\n<ul>\n<li>Comfort working with both hardware and software teams to solve multidisciplinary problems.</li>\n</ul>\n<p><strong>Bonus points if you have:</strong></p>\n<ul>\n<li>Deep expertise with the power characteristics of synchronous workloads (as seen in supercomputing or model training environments).</li>\n</ul>\n<ul>\n<li>Knowledge of power control requirements in IT hardware design, with the ability to drive cross-functional collaboration to integrate power management features into hardware systems effectively.</li>\n</ul>\n<ul>\n<li>Working knowledge of control system fundamentals and how physical systems respond to control strategies.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits humanity. It is a privately held company with a large team of researchers and engineers.</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_3e595fee-521","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/633d5574-92e4-4327-9783-7ea831223dea","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $445K","x-skills-required":["Python","Automation and scripting tools","Distributed systems","Electrical engineering concepts","System-level investigations","Automated solutions","SQL","PromQL","Pandas"],"x-skills-preferred":["Shell scripting","Digital signal processing","Power systems","Fast Fourier Transforms","Control system fundamentals"],"datePosted":"2026-03-06T18:28:57.905Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Automation and scripting tools, Distributed systems, Electrical engineering concepts, System-level investigations, Automated solutions, SQL, PromQL, Pandas, Shell scripting, Digital signal processing, Power systems, Fast Fourier Transforms, Control system fundamentals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_795b8789-196"},"title":"Software Engineer, GPU Infrastructure - HPC","description":"<p><strong>Software Engineer, GPU Infrastructure - HPC</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the team</strong></p>\n<p>The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.</p>\n<p><strong>About the role</strong></p>\n<p>As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.</p>\n<p>Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.</p>\n<p>Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and maintain automation systems for provisioning and managing server fleets.</li>\n</ul>\n<ul>\n<li>Develop tools to monitor server health, performance, and lifecycle events.</li>\n</ul>\n<ul>\n<li>Collaborate with clusters, networking, and infrastructure teams.</li>\n</ul>\n<ul>\n<li>Partner with external operators to ensure a high level of quality.</li>\n</ul>\n<ul>\n<li>Identify and fix performance bottlenecks and inefficiencies.</li>\n</ul>\n<ul>\n<li>Continuously improve automation to reduce manual work.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Experience managing large-scale server environments.</li>\n</ul>\n<ul>\n<li>A balance of strengths in building and operationalizing.</li>\n</ul>\n<ul>\n<li>Proficiency in Python, Go, or similar languages.</li>\n</ul>\n<ul>\n<li>Strong Linux, networking, and server hardware knowledge.</li>\n</ul>\n<ul>\n<li>Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.</li>\n</ul>\n<p><strong>Prior hardware expertise is not required for this role.</strong></p>\n<p><strong>Bonus Skills:</strong></p>\n<ul>\n<li>Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)</li>\n</ul>\n<ul>\n<li>Knowledge of hardware management protocols (e.g., IPMI, Redfish).</li>\n</ul>\n<ul>\n<li>High-performance computing (HPC) or distributed systems experience.</li>\n</ul>\n<ul>\n<li>Prior experience developing, managing, or designing hardware.</li>\n</ul>\n<ul>\n<li>Familiarity with monitoring tools (e.g., Prometheus, Grafana).</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_795b8789-196","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/f58cb1eb-9642-4a4d-a14d-d7a57d583a11","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $490K • Offers Equity","x-skills-required":["Python","Go","Linux","networking","server hardware","SQL","PromQL","Pandas"],"x-skills-preferred":["low level details of hardware components","protocols","Linux tooling","hardware management protocols","high-performance computing","distributed systems","monitoring tools"],"datePosted":"2026-03-06T18:28:35.701Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Linux, networking, server hardware, SQL, PromQL, Pandas, low level details of hardware components, protocols, Linux tooling, hardware management protocols, high-performance computing, distributed systems, monitoring tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d57a957c-3bb"},"title":"Software Engineer, Frontier Systems","description":"<p><strong>Software Engineer, Frontier Systems</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$250K – $445K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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Even a single hardware failure can derail a large-scale training run, so minimizing disruptions is core to the mission.</p>\n<p>Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who goes deep - who thrives on root-causing system-level issues and building automation to catch and fix problems at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own and improve the system health checks that keep our hyperscale supercomputers stable during model training.</li>\n</ul>\n<ul>\n<li>Lead deep dives into hardware failures and system-level bugs to understand how things break at scale.</li>\n</ul>\n<ul>\n<li>Build automation that monitors and fixes issues across thousands of machines - so researchers can keep moving without interruption.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>7+ years of industry experience in software engineering</li>\n</ul>\n<ul>\n<li>Proficiency with Python and shell scripting</li>\n</ul>\n<ul>\n<li>A high degree of comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool necessary</li>\n</ul>\n<ul>\n<li>Experience developing reproducible analyses</li>\n</ul>\n<ul>\n<li>A balance of strengths in building and operationalizing</li>\n</ul>\n<p>Prior hardware expertise is not required for this role.</p>\n<p><strong>Bonus if you have:</strong></p>\n<ul>\n<li>Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)</li>\n</ul>\n<ul>\n<li>Experience with visualization of large data centers and networks.</li>\n</ul>\n<ul>\n<li>Expertise with network operations and tooling</li>\n</ul>\n<ul>\n<li>Expertise with power management and stabilization</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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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. You will collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Create high-quality datasets for training and evaluation</li>\n<li>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 multimodal ingestion, preprocessing, filtering, and annotation</li>\n<li>Analyze real-world multimodal 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</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\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</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to communicate technical findings clearly to research and product teams</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</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_55f3e52b-904","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","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-5/","x-work-arrangement":"onsite","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"],"x-skills-preferred":["statistics","exploratory data analysis","data processing frameworks"],"datePosted":"2026-03-06T07:32:04.123Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, Spark, Ray, Apache Beam, statistics, exploratory data analysis, data processing frameworks","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_41ac4a39-9a3"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Member of Technical Staff - Pretraining Text Data at their Redmond office. 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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