{"schemaVersion":"jobsearcher.job.v1","id":"241a85ecab1cee8ff16ee45f","url":"https://jobsearcher.com/jobs/241a85ecab1cee8ff16ee45f","canonicalUrl":"https://jobsearcher.com/jobs/241a85ecab1cee8ff16ee45f","title":"Senior Manager, ML Science","description":"The Role\nWe are seeking a technical leader who can balance strategic leadership with hands‑on contributions. You’ll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv’s real‑time bidding and recommendation systems. This role is critical to our success, sitting at the intersection of cutting‑edge research and production‑scale delivery.\n\nLocation\nThis position will be located in San Mateo, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thu/Fri).\n\nWhat You’ll Do\n\nLead and Mentor. You manage and grow a team of Machine Learning Research Scientists, fostering a collaborative, innovative environment while mentoring individuals on both technical challenges and career development.\n\nSet Strategic Direction. You define and execute the vision for machine learning research within the adtech domain, representing the team in strategic discussions and contributing to company‑wide initiatives.\n\nDrive Technical Innovation. You oversee the design and implementation of cutting‑edge deep learning architectures, staying current with LLM research and guiding the integration of new breakthroughs into Cognitiv’s solutions.\n\nStay Hands‑On. You actively contribute through coding, experimentation, and code reviews, ensuring technical excellence and adherence to best practices.\n\nAdvance AdTech Performance. You continuously improve models and algorithms to drive ad targeting, real‑time bidding performance, and audience relevance.\n\nEnable Scalable Systems. You collaborate with operations, engineering, and cross‑functional partners to refine data pipelines, model deployment, and monitoring systems.\n\nDeliver Results. You manage project timelines, resources, and deliverables, ensuring successful completion of high‑impact research initiatives.\n\nTech Stack\n\nCore Tools – Python, PyTorch, deep learning architectures (transformers, recommendation models).\n\nTraditional ML – XGBoost, PCA.\n\nBig Data / Infra – Spark, Hadoop, distributed training systems.\n\nCloud Platforms – AWS, GCP, or Azure.\n\nBonus – C++.\n\nWho You Are\n\nExperienced Leader with Advanced Education: Master’s or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field; 5–7+ years of experience in machine learning R&D. Proven experience leading teams of researchers and senior ICs/PhDs while remaining 30–50% hands‑on (coding, reviews, experimentation).\n\nDeep Learning, LLMs & Model Tuning: Deep technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large‑scale training and fine‑tuning of deep neural networks.\n\nMachine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.\n\nEngineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real‑time, high‑throughput systems (e.g., recommender systems, adtech).\n\nProduction Experience: Hands‑on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).\n\nStrong Communicator: Excellent written and verbal communication skills, strong project management capabilities, and the ability to drive alignment in fast‑paced, dynamic environments.\n\nBonus Points If You Have\n\nAdTech & RTB Experience. Prior exposure to advertising technology and real‑time bidding (RTB) systems.\n\nDistributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).\n\nC++ Skills. Strong C++ programming ability alongside Python expertise.\n\nResearch & Community Impact. A track record of published research or meaningful contributions to the machine learning community.\n\nBridging Research and Delivery. Experience managing both exploratory research timelines and production‑grade delivery cycles.\n\nSalary\n$250,000 – $300,000 USD Base Salary + Equity.\n\nBenefits\n\nMedical, dental & vision coverage (some plans 100% employer‑paid)\n\n12 weeks paid parental leave\n\nUnlimited PTO + Work‑From‑Anywhere August\n\nCareer development with clear advancement paths\n\nEquity for all employees\n\nHybrid work model & daily team lunch\n\nHealth & wellness stipend + cell phone reimbursement\n\n401(k) with employer match\n\nParking (CA & WA offices) & pre‑tax commuter benefits\n\nEmployee Assistance Program\n\nComprehensive onboarding (Cognitiv University)\n\nEqual‑Opportunity Employment\nCognitiv is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T04:38:54.508Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Manager, ML Science","description":"The Role\nWe are seeking a technical leader who can balance strategic leadership with hands‑on contributions. You’ll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv’s real‑time bidding and recommendation systems. This role is critical to our success, sitting at the intersection of cutting‑edge research and production‑scale delivery.\n\nLocation\nThis position will be located in San Mateo, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thu/Fri).\n\nWhat You’ll Do\n\nLead and Mentor. You manage and grow a team of Machine Learning Research Scientists, fostering a collaborative, innovative environment while mentoring individuals on both technical challenges and career development.\n\nSet Strategic Direction. You define and execute the vision for machine learning research within the adtech domain, representing the team in strategic discussions and contributing to company‑wide initiatives.\n\nDrive Technical Innovation. You oversee the design and implementation of cutting‑edge deep learning architectures, staying current with LLM research and guiding the integration of new breakthroughs into Cognitiv’s solutions.\n\nStay Hands‑On. You actively contribute through coding, experimentation, and code reviews, ensuring technical excellence and adherence to best practices.\n\nAdvance AdTech Performance. You continuously improve models and algorithms to drive ad targeting, real‑time bidding performance, and audience relevance.\n\nEnable Scalable Systems. You collaborate with operations, engineering, and cross‑functional partners to refine data pipelines, model deployment, and monitoring systems.\n\nDeliver Results. You manage project timelines, resources, and deliverables, ensuring successful completion of high‑impact research initiatives.\n\nTech Stack\n\nCore Tools – Python, PyTorch, deep learning architectures (transformers, recommendation models).\n\nTraditional ML – XGBoost, PCA.\n\nBig Data / Infra – Spark, Hadoop, distributed training systems.\n\nCloud Platforms – AWS, GCP, or Azure.\n\nBonus – C++.\n\nWho You Are\n\nExperienced Leader with Advanced Education: Master’s or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field; 5–7+ years of experience in machine learning R&D. Proven experience leading teams of researchers and senior ICs/PhDs while remaining 30–50% hands‑on (coding, reviews, experimentation).\n\nDeep Learning, LLMs & Model Tuning: Deep technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large‑scale training and fine‑tuning of deep neural networks.\n\nMachine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.\n\nEngineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real‑time, high‑throughput systems (e.g., recommender systems, adtech).\n\nProduction Experience: Hands‑on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).\n\nStrong Communicator: Excellent written and verbal communication skills, strong project management capabilities, and the ability to drive alignment in fast‑paced, dynamic environments.\n\nBonus Points If You Have\n\nAdTech & RTB Experience. Prior exposure to advertising technology and real‑time bidding (RTB) systems.\n\nDistributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).\n\nC++ Skills. Strong C++ programming ability alongside Python expertise.\n\nResearch & Community Impact. A track record of published research or meaningful contributions to the machine learning community.\n\nBridging Research and Delivery. Experience managing both exploratory research timelines and production‑grade delivery cycles.\n\nSalary\n$250,000 – $300,000 USD Base Salary + Equity.\n\nBenefits\n\nMedical, dental & vision coverage (some plans 100% employer‑paid)\n\n12 weeks paid parental leave\n\nUnlimited PTO + Work‑From‑Anywhere August\n\nCareer development with clear advancement paths\n\nEquity for all employees\n\nHybrid work model & daily team lunch\n\nHealth & wellness stipend + cell phone reimbursement\n\n401(k) with employer match\n\nParking (CA & WA offices) & pre‑tax commuter benefits\n\nEmployee Assistance Program\n\nComprehensive onboarding (Cognitiv University)\n\nEqual‑Opportunity Employment\nCognitiv is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:38:54.508Z","dateModified":"2026-06-20T04:38:54.508Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"241a85ecab1cee8ff16ee45f"},"url":"https://jobsearcher.com/jobs/241a85ecab1cee8ff16ee45f"}}