{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/distillation"},"x-facet":{"type":"skill","slug":"distillation","display":"Distillation","count":7},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@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_d5b743bb-d8f"},"title":"Product Manager, AI Platforms","description":"<p>The AI Platform Product Manager will drive the strategy and execution of Shield AI&#39;s next-generation autonomy intelligence stack. This PM owns the product vision and roadmap for the Hivemind AI Platform, ensuring we can manufacture, govern, and field advanced world models, robotics foundation models, and vision-language-action systems safely and at scale.</p>\n<p>This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI&#39;s strategic direction.</p>\n<p>This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>AI Model Development &amp; Training Platform</li>\n</ul>\n<p>Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. 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Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.</p>\n<ul>\n<li>Edge Deployment &amp; AI Factory Integration</li>\n</ul>\n<p>Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.</p>\n<ul>\n<li>Cross-Functional Leadership</li>\n</ul>\n<p>Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.</p>\n<ul>\n<li>User &amp; Customer Impact</li>\n</ul>\n<p>Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. 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Our team is at the forefront of innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.</li>\n<li>Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.</li>\n<li>Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.</li>\n<li>Analyze system performance and identify opportunities based on data analysis and online experiments.</li>\n<li>Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>4+ years of industry experience with a focus on computer vision, image/video generation, and editing.</li>\n<li>Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g., diffusion/AR models and distillation, VAEs, etc.).</li>\n<li>Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.</li>\n<li>Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>5+ years of industry experience with a focus on computer vision, image/video generation, and editing.</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_37ab14e1-164","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/senior-applied-scientist-31/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AIGC","VLM","SOTA technologies","frameworks","image processing","generation algorithms","data analysis","online experiments","cross-functional teams","product manager","engineering","research"],"x-skills-preferred":["diffusion/AR models and distillation","VAEs","computer vision","image/video generation","editing"],"datePosted":"2026-03-08T22:17:40.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Multiple Locations"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AIGC, VLM, SOTA technologies, frameworks, image processing, generation algorithms, data analysis, online experiments, cross-functional teams, product manager, engineering, research, diffusion/AR models and distillation, VAEs, computer vision, image/video generation, editing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd8c3fa1-00e"},"title":"Senior Applied Scientist","description":"<p>Microsoft is aggressively advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation. 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Video Post Training","description":"<p><strong>Senior Research Engineer - Video Post Training</strong></p>\n<p><strong>About the role</strong></p>\n<p>As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&amp;D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. 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This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Apply DPO (direct preference optimisation) to pre-trained models.</li>\n<li>Adapt models to extend their capabilities, for instance, by changing conditioning inputs.</li>\n<li>Build solutions for dubbing and evaluate the quality of lip-sync.</li>\n<li>Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.</li>\n<li>Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering.</li>\n<li>Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods.</li>\n</ul>\n<p><strong>What we&#39;re looking for:</strong></p>\n<ul>\n<li>You have a background in Computer Vision / Computer Science and 3+ years of industry experience.</li>\n<li>You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention)</li>\n<li>You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.</li>\n<li>You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.</li>\n<li>You have experience in using most modern frameworks for machine learning and deep learning.</li>\n<li>You have great coding skills in Python and you care about writing clean code.</li>\n<li>You have experience with SDLC tools (Git), preferably CI/CD</li>\n</ul>\n<p><strong>Why join us?</strong></p>\n<p>We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,</p>\n<p><strong>Our culture</strong></p>\n<p>At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.</p>\n<p><strong>Serving 50,000+ customers (and 50% of the Fortune 500)</strong></p>\n<p>We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.</p>\n<p><strong>Proprietary AI technology</strong></p>\n<p>Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.</p>\n<p><strong>AI Safety, Ethics and Security</strong></p>\n<p>AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence&#39;s impact on our society is still unfolding, our position is clear: <strong>People first. Always.</strong>  Learn more about our commitments to AI Ethics, Safety &amp; Security.</p>\n<p><strong>The good stuff...</strong></p>\n<ul>\n<li>Competitive compensation (salary + stock options + bonus)</li>\n<li>Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.</li>\n<li>25 days of annual leave + public holidays</li>\n<li>Great company culture with the option to join regular planning and socials at our hubs</li>\n<li>\\+ other benefits depending on your location</li>\n</ul>\n<p>You can see more about Who we are and How we work here: https://www.synthesia.io/careers</p>\n<p>LI-MD1</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_9e138a70-d82","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synthesia","sameAs":"https://www.synthesia.io/","logo":"https://logos.yubhub.co/synthesia.io.png"},"x-apply-url":"https://jobs.ashbyhq.com/synthesia/1434d381-fd67-4bb4-9ed3-06e2073ead7f","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive compensation (salary + stock options + bonus)","x-skills-required":["post-training Diffusion models","generative AI","Computer Vision","Computer Science","Python","SDLC tools (Git)","CI/CD"],"x-skills-preferred":["efficient attention","distillation","adversarial networks"],"datePosted":"2026-03-06T18:38:05.381Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Europe"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"post-training Diffusion models, generative AI, Computer Vision, Computer Science, Python, SDLC tools (Git), CI/CD, efficient attention, distillation, adversarial networks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6f7f50a-a66"},"title":"Research Engineer, Applied AI Engineering","description":"<p><strong>Research Engineer, Applied AI Engineering</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>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$250K – $555K • 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. 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Our mission is to ensure that AI&#39;s benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Group, where you&#39;ll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer in OpenAI&#39;s Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You&#39;ll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you&#39;re excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. 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Your work will directly influence how AI benefits individuals, businesses, and society at large.</li>\n</ul>\n<p>You might thrive in this role if you:</p>\n<ul>\n<li>Master&#39;s/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience in deep learning and transformers models</li>\n</ul>\n<ul>\n<li>Proficiency in frameworks like PyTorch or Tensorflow</li>\n</ul>\n<ul>\n<li>Strong foundation in data structures, algorithms, and software engineering principles.</li>\n</ul>\n<ul>\n<li>Experience with search relevance, ads ranking or LLMs is a plus.</li>\n</ul>\n<ul>\n<li>Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization</li>\n</ul>\n<ul>\n<li>Excellent problem-solving and analytical skills, with a proactive approach to challenges.</li>\n</ul>\n<ul>\n<li>Ability to work collaboratively with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines</li>\n</ul>\n<ul>\n<li>Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done</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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