{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/transformer-models"},"x-facet":{"type":"skill","slug":"transformer-models","display":"Transformer Models","count":15},"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_eb286b66-47b"},"title":"AI Scientist","description":"<p>About this role</p>\n<p>We&#39;re looking for an AI Scientist to join our research team in Zurich. As an AI Scientist, you will research and develop novel methods to push the frontier of large language models. You will work across use cases (e.g., reasoning, code, agents) and modalities (e.g., text, image, and speech). You will build tooling and infrastructure to allow training, evaluation, and analysis of AI models at scale. You will also work cross-functionally with other scientists, engineers, and product teams to ship AI systems that have a real-world impact.</p>\n<p>About you</p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g., Rust, Go, Java).</li>\n<li>You have hands-on experience with AI frameworks (e.g., PyTorch, JAX) or distributed systems (e.g., Ray, Kubernetes).</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production.</li>\n<li>You are a self-starter, autonomous, and a team player.</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion.</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation, and deployment.</li>\n<li>You have a strong publication record in a relevant scientific domain.</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Monthly meal allowance</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Private pension plan</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_eb286b66-47b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/bedfc2aa-f1b6-4136-bd17-b3abe4c06120","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes"],"x-skills-preferred":["Training large transformer models in a distributed fashion","Navigating the full MLOps stack","Strong publication record in a relevant scientific domain"],"datePosted":"2026-04-17T12:46:40.057Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zurich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, Training large transformer models in a distributed fashion, Navigating the full MLOps stack, Strong publication record in a relevant scientific domain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ea4460a-445"},"title":"AI Scientist","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone. We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives.</p>\n<p>What will you do?</p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p>Benefits</p>\n<p>France</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n</ul>\n<p>UK</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Insurance</li>\n<li>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</li>\n<li>Sport: 90GBP/month reimbursement for gym membership</li>\n<li>Meal voucher: £200 monthly allowance for its meals</li>\n<li>Pension plan: SmartPension (percentages are 5% Employee &amp; 3% Employer)</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_6ea4460a-445","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/675b7f06-a76b-4144-af0c-4dd3282ef489","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes"],"x-skills-preferred":["Training large transformer models in a distributed fashion","Navigating the full MLOps stack","Strong publication record in a relevant scientific domain"],"datePosted":"2026-04-17T12:46:10.643Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, Training large transformer models in a distributed fashion, Navigating the full MLOps stack, Strong publication record in a relevant scientific domain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c72b249-b04"},"title":"AI Scientist","description":"<p>About the Role</p>\n<p>We are seeking an AI Scientist to join our research team in Warsaw. As an AI Scientist, you will research and develop novel methods to push the frontier of large language models, work across use cases and modalities, and build tooling and infrastructure to allow training, evaluation, and analysis of AI models at scale.</p>\n<p>Responsibilities</p>\n<p>• Research and develop novel methods to push the frontier of large language models\n• Work across use cases (e.g., reasoning, code, agents) and modalities (e.g., text, image, and speech)\n• Build tooling and infrastructure to allow training, evaluation, and analysis of AI models at scale\n• Work cross-functionally with other scientists, engineers, and product teams to ship AI systems that have a real-world impact</p>\n<p>About You</p>\n<p>• You are a highly proficient software engineer in at least one programming language (Python or other, e.g., Rust, Go, Java)\n• You have hands-on experience with AI frameworks (e.g., PyTorch, JAX) or distributed systems (e.g., Ray, Kubernetes)\n• You have high engineering competence. This means being able to design complex software and make it usable in production\n• You are a self-starter, autonomous, and a team player</p>\n<p>Benefits</p>\n<p>• Competitive cash salary and equity\n• Food: Monthly meal allowance\n• Sport: Monthly contribution to a Gympass subscription\n• Private pension plan</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_8c72b249-b04","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/4e498cbf-151e-483a-b3f7-76ff64a22041","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes"],"x-skills-preferred":["Training large transformer models in a distributed fashion","Navigating the full MLOps stack, for instance, fine-tuning, evaluation, and deployment","Strong publication record in a relevant scientific domain"],"datePosted":"2026-04-17T12:46:09.065Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, Training large transformer models in a distributed fashion, Navigating the full MLOps stack, for instance, fine-tuning, evaluation, and deployment, Strong publication record in a relevant scientific domain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_75be3667-194"},"title":"AI Scientist - Audio","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>\n<p>What will you do?</p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>An expert in speech input/output methodologies (specific to audio)</li>\n<li>Highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>Hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>High engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>Self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have experience working with large-scale speech-language models</li>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p>Benefits</p>\n<p>France</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n</ul>\n<p>UK</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Insurance</li>\n<li>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</li>\n<li>Sport: 90GBP/month reimbursement for gym membership</li>\n<li>Meal voucher: £200 monthly allowance for its meals</li>\n<li>Pension plan: SmartPension (percentages are 5% Employee &amp; 3% Employer)</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_75be3667-194","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/94173e13-3050-4044-862a-e8dfc2deda5e","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["speech input/output methodologies","Python","PyTorch","JAX","Rust","Go","Java","distributed systems","Ray","Kubernetes"],"x-skills-preferred":["large-scale speech-language models","training large transformer models in a distributed fashion","MLOps stack","fine-tuning","evaluation","deployment"],"datePosted":"2026-04-17T12:46:02.015Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"speech input/output methodologies, Python, PyTorch, JAX, Rust, Go, Java, distributed systems, Ray, Kubernetes, large-scale speech-language models, training large transformer models in a distributed fashion, MLOps stack, fine-tuning, evaluation, deployment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe6b2de2-36b"},"title":"AI Scientist","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n<li>Audio/Speech experience - audio input/out, NLP</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and bonus structure</li>\n<li>Generous Equity</li>\n<li>Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)</li>\n<li>Pension: 401K (6% matching)</li>\n<li>PTO: 18 days</li>\n<li>Transportation: Reimburse office parking charges, or $120/month for public transport</li>\n<li>Coaching: we offer Betterup coaching on a voluntary basis</li>\n<li>Sport: $120/month reimbursement for gym membership</li>\n<li>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n<li>Visa sponsorship</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_fe6b2de2-36b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/7b20d2c8-d5a7-4efd-a13e-05d920ec5985","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes","large language models","distributed systems","MLOps"],"x-skills-preferred":["training large transformer models","fine-tuning","evaluation and deployment","audio input/out","NLP"],"datePosted":"2026-04-17T12:45:59.717Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, large language models, distributed systems, MLOps, training large transformer models, fine-tuning, evaluation and deployment, audio input/out, NLP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66a96d8c-777"},"title":"AI Scientist","description":"<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p><strong>About You:</strong></p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n<li>Audio/Speech experience - audio input/out, NLP</li>\n</ul>\n<p><strong>What We Offer:</strong></p>\n<ul>\n<li>Competitive salary and bonus structure</li>\n<li>Generous Equity</li>\n<li>Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)</li>\n<li>Pension: 401K (6% matching)</li>\n<li>PTO: 18 days</li>\n<li>Transportation: Reimburse office parking charges, or $120/month for public transport</li>\n<li>Coaching: we offer Betterup coaching on a voluntary basis</li>\n<li>Sport: $120/month reimbursement for gym membership</li>\n<li>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n<li>Visa sponsorship</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_66a96d8c-777","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/"},"x-apply-url":"https://jobs.lever.co/mistral/7b20d2c8-d5a7-4efd-a13e-05d920ec5985","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","distributed systems","Ray","Kubernetes","large language models","transformer models"],"x-skills-preferred":["audio input/out","NLP","MLOps","fine-tuning","evaluation","deployment"],"datePosted":"2026-03-10T11:30:26.219Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, distributed systems, Ray, Kubernetes, large language models, transformer models, audio input/out, NLP, MLOps, fine-tuning, evaluation, deployment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ef094ae-1e3"},"title":"AI Scientist - Paris/London - Onsite or Hybrid or Remote","description":"<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if:</p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n</ul>\n<p>France:</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n</ul>\n<p>UK:</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Insurance</li>\n<li>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</li>\n<li>Sport: 90GBP/month reimbursement for gym membership</li>\n<li>Meal voucher: £200 monthly allowance for its meals</li>\n<li>Pension plan: SmartPension (percentages are 5% Employee &amp; 3% Employer)</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_6ef094ae-1e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/"},"x-apply-url":"https://jobs.lever.co/mistral/675b7f06-a76b-4144-af0c-4dd3282ef489","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes"],"x-skills-preferred":["training large transformer models in a distributed fashion","MLOps stack","fine-tuning","evaluation and deployment"],"datePosted":"2026-03-10T11:27:29.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, training large transformer models in a distributed fashion, MLOps stack, fine-tuning, evaluation and deployment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1aefaf93-fe1"},"title":"AI Scientist","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global team with a presence in France, USA, UK, Germany, and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g., reasoning, code, agents) and modalities (e.g., text, image, and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation, and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers, and product teams to ship AI systems that have a real-world impact</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g., Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g., PyTorch, JAX) or distributed systems (e.g., Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous, and a team player</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation, and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Monthly meal allowance</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Private pension plan</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_1aefaf93-fe1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/bedfc2aa-f1b6-4136-bd17-b3abe4c06120","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","JAX","Rust","Go","Java","Ray","Kubernetes"],"x-skills-preferred":["Training large transformer models in a distributed fashion","Navigating the full MLOps stack","Strong publication record in a relevant scientific domain"],"datePosted":"2026-03-10T11:23:24.820Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zurich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, Training large transformer models in a distributed fashion, Navigating the full MLOps stack, Strong publication record in a relevant scientific domain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_82ef5cbb-727"},"title":"AI Scientist","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.</p>\n<p>Responsibilities</p>\n<p>• Research and develop novel methods to push the frontier of large language models\n• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)\n• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale\n• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</p>\n<p>About You</p>\n<p>• You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)\n• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)\n• You have high engineering competence. This means being able to design complex software and make it usable in production\n• You are a self-starter, autonomous and a team player</p>\n<p>Now, it would be ideal if</p>\n<p>• You have hands-on experience with training large transformer models in a distributed fashion\n• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment\n• You have a strong publication record in a relevant scientific domain</p>\n<p>Benefits</p>\n<p>• Competitive cash salary and equity\n• Food: Monthly meal allowance\n• Sport: Monthly contribution to a Gympass subscription\n• Private pension plan</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_82ef5cbb-727","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/4e498cbf-151e-483a-b3f7-76ff64a22041","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software engineer","AI frameworks","distributed systems","high engineering competence","self-starter","autonomous","team player"],"x-skills-preferred":["hands-on experience with training large transformer models in a distributed fashion","navigate the full MLOps stack","strong publication record in a relevant scientific domain"],"datePosted":"2026-03-10T11:23:03.376Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineer, AI frameworks, distributed systems, high engineering competence, self-starter, autonomous, team player, hands-on experience with training large transformer models in a distributed fashion, navigate the full MLOps stack, strong publication record in a relevant scientific domain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_77b20c01-867"},"title":"AI Scientist - Audio","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>\n<p>What will you do?</p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>An expert in speech input/output methodologies (specific to audio)</li>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have experience working with large-scale speech-language models</li>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p>Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral&#39;s mission. We value profile and experience diversity.</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_77b20c01-867","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/"},"x-apply-url":"https://jobs.lever.co/mistral/94173e13-3050-4044-862a-e8dfc2deda5e","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive cash salary and equity","x-skills-required":["speech input/output methodologies","Python","PyTorch","JAX","distributed systems","Ray","Kubernetes","high engineering competence"],"x-skills-preferred":["large-scale speech-language models","training large transformer models in a distributed fashion","MLOps stack","fine-tuning","evaluation","deployment"],"datePosted":"2026-03-10T11:22:35.126Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"speech input/output methodologies, Python, PyTorch, JAX, distributed systems, Ray, Kubernetes, high engineering competence, large-scale speech-language models, training large transformer models in a distributed fashion, MLOps stack, fine-tuning, evaluation, deployment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_183800c4-b3d"},"title":"Researcher, Frontier Cybersecurity Risks","description":"<p><strong>Compensation</strong></p>\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><strong>About the team</strong></p>\n<p>The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.</p>\n<p>The Preparedness team is an important part of the [Safety Systems](https://openai.com/safety/safety-systems) org at OpenAI, and is guided by OpenAI’s [Preparedness Framework](https://openai.com/index/updating-our-preparedness-framework/).</p>\n<p>Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.</p>\n<p>The mission of the Preparedness team is to:</p>\n<ol>\n<li>Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic</li>\n</ol>\n<ol>\n<li>Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems</li>\n</ol>\n<p><strong>About the role</strong></p>\n<p>Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation.</p>\n<p>As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership.</li>\n</ul>\n<ul>\n<li>Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities.</li>\n</ul>\n<ul>\n<li>Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions.</li>\n</ul>\n<ul>\n<li>Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios.</li>\n</ul>\n<ul>\n<li>Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats (e.g., novel exploits, tool-use chains, automated attack workflows) and across different product surfaces—then iterate based on findings.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.</li>\n</ul>\n<ul>\n<li>Bring demonstrated experience in deep learning and transformer models.</li>\n</ul>\n<ul>\n<li>Are proficient with frameworks such as PyTorch or TensorFlow.</li>\n</ul>\n<ul>\n<li>Possess a strong foundation in data structures, algorithms, and software engineering principles.</li>\n</ul>\n<ul>\n<li>Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.</li>\n</ul>\n<ul>\n<li>Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering.</li>\n</ul>\n<ul>\n<li>Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale.</li>\n</ul>\n<ul>\n<li>(Nice to have) Bring background knowledge in cybersecurity or adjacent fields.</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_183800c4-b3d","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/97a7eeae-9625-4d00-874f-e50131f98369","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"Estimated Base Salary $295K – $445K","x-skills-required":["Deep learning","Transformer models","PyTorch","TensorFlow","Data structures","Algorithms","Software engineering principles","Large language models","Abuse prevention","Detection","Enforcement"],"x-skills-preferred":["Cybersecurity","Adjacent fields"],"datePosted":"2026-03-08T22:17:00.637Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep learning, Transformer models, PyTorch, TensorFlow, Data structures, Algorithms, Software engineering principles, Large language models, Abuse prevention, Detection, Enforcement, Cybersecurity, Adjacent fields","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_46bb9922-091"},"title":"ML Research Engineer - Hardware Codesign","description":"<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>$185K – $455K • 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><strong>About the Team</strong></strong></p>\n<p>OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We’re seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You’ll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware.</p>\n<p>Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential.</p>\n<p>Location: San Francisco, CA (Hybrid: 3 days/week onsite)</p>\n<p>Relocation assistance available.</p>\n<p><strong><strong>In this role you will:</strong></strong></p>\n<ul>\n<li>Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding.</li>\n</ul>\n<ul>\n<li>Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions.</li>\n</ul>\n<ul>\n<li>Write emulation kernels for low-precision numerics and lossy compression schemes, and get Research the information they need to trade efficiency with model quality.</li>\n</ul>\n<ul>\n<li>Prototype numerics modules by pushing RTL through synthesis; hand off novel numerics cleanly, or occasionally own an RTL module end-to-end.</li>\n</ul>\n<ul>\n<li>Proactively pull in new ML workloads, prototype them with rooflines and/or functional simulation, and drive initial evaluation of new opportunities or risks.</li>\n</ul>\n<ul>\n<li>Understand the whole picture from ML science to hardware optimization, and slice this end-to-end objective into near-term deliverables.</li>\n</ul>\n<ul>\n<li>Build ad-hoc collaborations across teams with very different goals and areas of expertise, and keep progress unblocked.</li>\n</ul>\n<ul>\n<li>Communicate design tradeoffs clearly with explicit assumptions and confidence levels; produce a trail of evidence that enables confident execution.</li>\n</ul>\n<p><strong><strong>You Will Thrive in this Role if:</strong></strong></p>\n<ul>\n<li>An exceptional track record of high-quality technical output, and a bias for shipping a prototype now and iterating later in the absence of clear requirements.</li>\n</ul>\n<ul>\n<li>Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility.</li>\n</ul>\n<ul>\n<li>Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units.</li>\n</ul>\n<ul>\n<li>Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus.</li>\n</ul>\n<ul>\n<li>Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization.</li>\n</ul>\n<ul>\n<li>Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large-scale ML systems.</li>\n</ul>\n<ul>\n<li>Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus.</li>\n</ul>\n<ul>\n<li>Strong cross-functional communication (e.g. across ML researchers and hardware engineers); ability to slice ambiguous early-incubation ideas into concrete arenas in which progress can be made.</li>\n</ul>\n<p>_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements.</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_46bb9922-091","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/5931abef-191b-417e-89f1-1d06f00e908c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$185K – $455K","x-skills-required":["Python","C++","Rust","Triton","CUDA","PyTorch","JAX","Floating point numerics","Model quantization","Transformer models","RTL","PPA tradeoffs"],"x-skills-preferred":["Strong Python","C++ or Rust","Experience writing Triton","CUDA or similar","Working knowledge of PyTorch or JAX","Experience in large ML codebases"],"datePosted":"2026-03-06T18:28:06.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, Rust, Triton, CUDA, PyTorch, JAX, Floating point numerics, Model quantization, Transformer models, RTL, PPA tradeoffs, Strong Python, C++ or Rust, Experience writing Triton, CUDA or similar, Working knowledge of PyTorch or JAX, Experience in large ML codebases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185000,"maxValue":455000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ee94df2-ca6"},"title":"Senior Research Engineer/Scientist - On-Device Transformer Models","description":"<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>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Consumer Products</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$380K – $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. 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 Future of Computing Research team is an Applied Research team within the Consumer Products group focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with _both_ the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.</p>\n<p><strong>This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.</li>\n<li>Develop novel architectures that improve model performance when scaling the models themselves is not an option.</li>\n<li>Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a research background related to developing on-device transformer models.</li>\n<li>Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).</li>\n<li>Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.</li>\n<li>Have already spent time in the weeds teaching models to speak and perceive.</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_1ee94df2-ca6","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/7f9eb43b-423e-43e4-9f42-d14b8ba0f234","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$380K – $445K • Offers Equity","x-skills-required":["research background related to developing on-device transformer models","performance optimization","GPU kernel engineers","rigorous science","teaching models to speak and perceive"],"x-skills-preferred":["CUDA experience","multimodal SoTA models","novel architectures","nascent research capabilities"],"datePosted":"2026-03-06T18:22:44.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"research background related to developing on-device transformer models, performance optimization, GPU kernel engineers, rigorous science, teaching models to speak and perceive, CUDA experience, multimodal SoTA models, novel architectures, nascent research capabilities","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":380000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cfee4a87-9c7"},"title":"Member of Technical Staff, Multimodal Infrastructure","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We&#39;re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design, develop and maintain large-scale multimodal data processing pipelines.</li>\n<li>Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.</li>\n<li>Design, develop and maintain large-scale multimodal model inference and serving frameworks.</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>Bachelor&#39;s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray &amp; spark) and CPU/GPU batch processing optimizations.</li>\n<li>Experience with state-of-art model inference and serving frameworks.</li>\n<li>Experience with image/video/audio data processing.</li>\n<li>Experience with common data formats for efficient I/O.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Enjoy working in a fast-paced, design-driven, product development cycle.</li>\n<li>Embody our Culture and Values.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.</li>\n<li>Comprehensive health and wellbeing benefits.</li>\n<li>Professional development opportunities.</li>\n<li>Financial benefits (bonus, equity, pension, etc.).</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_cfee4a87-9c7","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-multimodal-infrastructure-mai-superintelligence-team-2/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","Distributed data processing infra","CPU/GPU batch processing optimizations","State-of-art model inference and serving frameworks","Image/video/audio data processing","Common data formats for efficient I/O"],"x-skills-preferred":["Deep learning frameworks","Auto-regressive and diffusion transformer models","Distributed training techniques","Image/video generation and editing","Efficient architectures","Efficient model design","Reinforcement learning training methods"],"datePosted":"2026-03-06T07:31:05.608Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Distributed data processing infra, CPU/GPU batch processing optimizations, State-of-art model inference and serving frameworks, Image/video/audio data processing, Common data formats for efficient I/O, Deep learning frameworks, Auto-regressive and diffusion transformer models, Distributed training techniques, Image/video generation and editing, Efficient architectures, Efficient model design, Reinforcement learning training methods"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a82f064b-623"},"title":"Member of Technical Staff, Multimodal Infrastructure","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, Multimodal Infrastructure, you will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design, develop, and maintain large-scale multimodal data processing pipelines.</li>\n<li>Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.</li>\n<li>Design, develop, and maintain large-scale multimodal model inference and serving frameworks.</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>Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray &amp; spark) and CPU/GPU batch processing optimizations.</li>\n<li>Experience with state-of-art model inference and serving frameworks.</li>\n<li>Experience with image/video/audio data processing.</li>\n<li>Experience with common data formats for efficient I/O.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Enjoy working in a fast-paced, design-driven, product development cycle.</li>\n<li>Embody our Culture and Values.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.</li>\n<li>Comprehensive health and wellbeing benefits.</li>\n<li>Professional development opportunities.</li>\n<li>Financial benefits (bonus, equity, pension, etc.).</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_a82f064b-623","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-multimodal-infrastructure-mai-superintelligence-team/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","Distributed data processing infra","CPU/GPU batch processing optimizations","State-of-art model inference and serving frameworks","Image/video/audio data processing","Common data formats for efficient I/O"],"x-skills-preferred":["Auto-regressive and diffusion transformer models","Distributed training techniques","Image/video generation and editing","Efficient architectures","Efficient model design","Reinforcement learning training methods"],"datePosted":"2026-03-06T07:30:19.312Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Distributed data processing infra, CPU/GPU batch processing optimizations, State-of-art model inference and serving frameworks, Image/video/audio data processing, Common data formats for efficient I/O, Auto-regressive and diffusion transformer models, Distributed training techniques, Image/video generation and editing, Efficient architectures, Efficient model design, Reinforcement learning training methods"}]}