PeopleConnect Staffing
Head of Machine Learning & AI Engineer
PeopleConnect Staffing, San Francisco, California, United States, 94199
Join to apply for the
Head of Machine Learning & AI Engineer
role at
PeopleConnect Staffing 1 day ago Be among the first 25 applicants Join to apply for the
Head of Machine Learning & AI Engineer
role at
PeopleConnect Staffing Get AI-powered advice on this job and more exclusive features. PeopleConnect Staffing provided pay range
This range is provided by PeopleConnect Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $215,000.00/yr Head of Machine Learning & Applied AI Engineering Location:
Remote in USA only; periodic travel to Seattle, Bay Area for team, client meetings Compensation:
$200K - $215K upon funding Our client is on a mission to transform how professional organizations, industry associations, and expert communities solve problems, deliver value, and engage their members. They believe that with the right blend of innovation, leadership, and technology, these communities can play an even more powerful role in shaping industries and society. Our client is building intelligent, human-centered solutions that help these organizations thrive—combining the promise of AI with a deep understanding of how people and communities’ work. Founded by experienced leaders in technology, product strategy, and go-to-market execution, they are ready to scale. Reports To Chief Technology Officer (CTO), Team Size 2–4 Product Managers/Analysts within initial 12 months (with cross-functional influence over design & data teams). The
Head of Machine Learning & Applied AI Engineering
is responsible for ensuring that these customers experience deep, lasting success from the moment they engage with them in the sales cycle, through their onboarding and through ongoing use, impact, and renewal. This leader will work closely with each early customer, embedding themselves within the customer environment to understand their unique context, challenges, needs, and use cases—and ensure the platform delivers maximum relevance, adoption, and transformative value. This is a foundational role, initially hands-on and later team-building and system-scaling, that directly influences customer delight, product-market fit, use case validation, reference ability, and renewal expansion. The
Head of Machine Learning & Applied AI Engineering
is the technical leader driving core AI model development and deployment efforts. In this role, you will define and execute their AI and ML strategy, ensuring that their neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions are built on robust, scalable, and state-of-the-art models. You will oversee the full ML project lifecycle – from research and prototyping to model training, evaluation, and deployment into production. As the senior-most ML engineer, you will mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas like natural language understanding, knowledge graph reasoning, and reinforcement learning (for agentic behavior). If you’ve worked at organizations like OpenAI, Google Brain/DeepMind, Meta AI, Microsoft Research, Anthropic, or similar – or in advanced ML engineering roles at companies such as Netflix (with its recommendation algorithms) or Apple (Siri, etc.) – you likely have the depth of experience we need. If you have experience deploying ML in enterprise settings (with concerns like security, compliance, on-prem deployments), that’s a bonus. Additionally, familiarity with human-in-the-loop ML or hybrid AI (neuro-symbolic) projects – for example, systems that combine rules with learning, or that incorporate human feedback like active learning loops – would indicate a great fit with their approach. Qualifications/Requirements: Machine learning engineering leader with 5–10+ years’ experience in AI/ML, including at least 5 years of hands-on building and deploying ML models and several years in a leadership or tech lead capacity. Strong programming skills in Python, skilled in C++ or Java. Excellent recent experience in TensorFlow, PyTorch or scikit-learn Experience in distributed computing or big data (Spark, Hadoop) Cloud platforms AWS, GCP, Azure and experience handling scaling issues You are equal parts scientist and engineer – possessing a strong theoretical foundation in AI (algorithms, statistics, deep learning) and the practical coding skills to implement and optimize models. You have a track record of delivering AI solutions into real-world production environments, not just research demos. This means you understand the nuances of scaling models, addressing data quality issues, and monitoring live model performance. Early-stage startup experience is highly preferred Team player with a get stuff done mindset and hands on in development Master’s or PhD in a related field, and perhaps even contributed to publications or patents, but you thrive in applying research to solve concrete problems. Citizen or Green Card Holder …not able to sponsor at this time Qualified candidates please send resume to Karen@PeopleConnectStaffing.com Seniority level
Seniority level Executive Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at PeopleConnect Staffing by 2x Get notified about new Head of Machine Learning jobs in
San Francisco Bay Area . San Francisco, CA $265,000.00-$350,000.00 5 months ago Head of ML/AI Exploration, Architecture, & Engineering
Mountain View, CA $248,000.00-$345,000.00 1 week ago Mountain View, CA $280,000.00-$300,000.00 6 days ago San Francisco, CA $240,000.00-$350,000.00 3 days ago San Francisco Bay Area $180,000.00-$220,000.00 1 month ago San Jose, CA $165,300.00-$327,600.00 6 days ago Founding Head of ML (Prompting / Agentic Systems / RAG Orchestration)
United States $200,000.00-$250,000.00 3 weeks ago San Francisco, CA $200,000.00-$300,000.00 2 weeks ago Mountain View, CA $414,000.00-$506,000.00 1 week ago San Francisco, CA $225,000.00-$250,000.00 2 weeks ago Head of Computer Vision and Machine Learning
Redwood City, CA $160,000.00-$220,000.00 1 year ago Mountain View, CA $190,000.00-$250,000.00 22 minutes ago San Francisco, CA $226,085.00-$283,250.00 2 weeks ago Director of Software and Machine Learning
Oakland, CA $200,000.00-$250,000.00 1 week ago San Jose, CA $232,000.00-$398,750.00 2 months ago Oakland, CA $193,000.00-$329,000.00 1 week ago Director, ADAS Perception Software Engineering and Machine Learning
San Francisco, CA $300,000.00-$380,000.00 5 days ago Director of Product Management, Infrastructure AI / ML
San Jose, CA $250,800.00-$339,300.00 3 days ago San Francisco, CA $210,000.00-$245,000.00 3 days ago San Francisco, CA $253,000.00-$314,000.00 3 days ago Sunnyvale, CA $277,900.00-$345,200.00 3 days ago Foster City, CA $191,700.00-$332,950.00 21 hours ago San Francisco, CA $244,000.00-$280,000.00 3 weeks ago Director, Machine Learning Engineering - Video AI
San Francisco, CA $234,500.00-$435,500.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Head of Machine Learning & AI Engineer
role at
PeopleConnect Staffing 1 day ago Be among the first 25 applicants Join to apply for the
Head of Machine Learning & AI Engineer
role at
PeopleConnect Staffing Get AI-powered advice on this job and more exclusive features. PeopleConnect Staffing provided pay range
This range is provided by PeopleConnect Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $215,000.00/yr Head of Machine Learning & Applied AI Engineering Location:
Remote in USA only; periodic travel to Seattle, Bay Area for team, client meetings Compensation:
$200K - $215K upon funding Our client is on a mission to transform how professional organizations, industry associations, and expert communities solve problems, deliver value, and engage their members. They believe that with the right blend of innovation, leadership, and technology, these communities can play an even more powerful role in shaping industries and society. Our client is building intelligent, human-centered solutions that help these organizations thrive—combining the promise of AI with a deep understanding of how people and communities’ work. Founded by experienced leaders in technology, product strategy, and go-to-market execution, they are ready to scale. Reports To Chief Technology Officer (CTO), Team Size 2–4 Product Managers/Analysts within initial 12 months (with cross-functional influence over design & data teams). The
Head of Machine Learning & Applied AI Engineering
is responsible for ensuring that these customers experience deep, lasting success from the moment they engage with them in the sales cycle, through their onboarding and through ongoing use, impact, and renewal. This leader will work closely with each early customer, embedding themselves within the customer environment to understand their unique context, challenges, needs, and use cases—and ensure the platform delivers maximum relevance, adoption, and transformative value. This is a foundational role, initially hands-on and later team-building and system-scaling, that directly influences customer delight, product-market fit, use case validation, reference ability, and renewal expansion. The
Head of Machine Learning & Applied AI Engineering
is the technical leader driving core AI model development and deployment efforts. In this role, you will define and execute their AI and ML strategy, ensuring that their neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions are built on robust, scalable, and state-of-the-art models. You will oversee the full ML project lifecycle – from research and prototyping to model training, evaluation, and deployment into production. As the senior-most ML engineer, you will mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas like natural language understanding, knowledge graph reasoning, and reinforcement learning (for agentic behavior). If you’ve worked at organizations like OpenAI, Google Brain/DeepMind, Meta AI, Microsoft Research, Anthropic, or similar – or in advanced ML engineering roles at companies such as Netflix (with its recommendation algorithms) or Apple (Siri, etc.) – you likely have the depth of experience we need. If you have experience deploying ML in enterprise settings (with concerns like security, compliance, on-prem deployments), that’s a bonus. Additionally, familiarity with human-in-the-loop ML or hybrid AI (neuro-symbolic) projects – for example, systems that combine rules with learning, or that incorporate human feedback like active learning loops – would indicate a great fit with their approach. Qualifications/Requirements: Machine learning engineering leader with 5–10+ years’ experience in AI/ML, including at least 5 years of hands-on building and deploying ML models and several years in a leadership or tech lead capacity. Strong programming skills in Python, skilled in C++ or Java. Excellent recent experience in TensorFlow, PyTorch or scikit-learn Experience in distributed computing or big data (Spark, Hadoop) Cloud platforms AWS, GCP, Azure and experience handling scaling issues You are equal parts scientist and engineer – possessing a strong theoretical foundation in AI (algorithms, statistics, deep learning) and the practical coding skills to implement and optimize models. You have a track record of delivering AI solutions into real-world production environments, not just research demos. This means you understand the nuances of scaling models, addressing data quality issues, and monitoring live model performance. Early-stage startup experience is highly preferred Team player with a get stuff done mindset and hands on in development Master’s or PhD in a related field, and perhaps even contributed to publications or patents, but you thrive in applying research to solve concrete problems. Citizen or Green Card Holder …not able to sponsor at this time Qualified candidates please send resume to Karen@PeopleConnectStaffing.com Seniority level
Seniority level Executive Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at PeopleConnect Staffing by 2x Get notified about new Head of Machine Learning jobs in
San Francisco Bay Area . San Francisco, CA $265,000.00-$350,000.00 5 months ago Head of ML/AI Exploration, Architecture, & Engineering
Mountain View, CA $248,000.00-$345,000.00 1 week ago Mountain View, CA $280,000.00-$300,000.00 6 days ago San Francisco, CA $240,000.00-$350,000.00 3 days ago San Francisco Bay Area $180,000.00-$220,000.00 1 month ago San Jose, CA $165,300.00-$327,600.00 6 days ago Founding Head of ML (Prompting / Agentic Systems / RAG Orchestration)
United States $200,000.00-$250,000.00 3 weeks ago San Francisco, CA $200,000.00-$300,000.00 2 weeks ago Mountain View, CA $414,000.00-$506,000.00 1 week ago San Francisco, CA $225,000.00-$250,000.00 2 weeks ago Head of Computer Vision and Machine Learning
Redwood City, CA $160,000.00-$220,000.00 1 year ago Mountain View, CA $190,000.00-$250,000.00 22 minutes ago San Francisco, CA $226,085.00-$283,250.00 2 weeks ago Director of Software and Machine Learning
Oakland, CA $200,000.00-$250,000.00 1 week ago San Jose, CA $232,000.00-$398,750.00 2 months ago Oakland, CA $193,000.00-$329,000.00 1 week ago Director, ADAS Perception Software Engineering and Machine Learning
San Francisco, CA $300,000.00-$380,000.00 5 days ago Director of Product Management, Infrastructure AI / ML
San Jose, CA $250,800.00-$339,300.00 3 days ago San Francisco, CA $210,000.00-$245,000.00 3 days ago San Francisco, CA $253,000.00-$314,000.00 3 days ago Sunnyvale, CA $277,900.00-$345,200.00 3 days ago Foster City, CA $191,700.00-$332,950.00 21 hours ago San Francisco, CA $244,000.00-$280,000.00 3 weeks ago Director, Machine Learning Engineering - Video AI
San Francisco, CA $234,500.00-$435,500.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr