Responsibilities : • Design and deploy advanced machine learning models that solve real-world problems. • Work closely with researchers, software engineers, and product managers to understand ...
Responsibilities : • Design and deploy advanced machine learning models that solve real-world problems. • Work closely with researchers, software engineers, and product managers to understand ...
Engineering Manager, Machine Learning Behavior Planning & Prediction
Palo Alto, CA · On-site
Medical
Dental
Vision
Retirement
PTO
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
Engineering Manager, Machine Learning Behavior Planning & Prediction
Palo Alto, CA · On-site
Medical
Dental
Vision
Retirement
PTO
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
... manage, lead and develop a team of machine learning researchers and engineers within the Applied ... Research to Production: Successfully transition breakthrough ML research into production-ready ...
... manage, lead and develop a team of machine learning researchers and engineers within the Applied ... Research to Production: Successfully transition breakthrough ML research into production-ready ...
As a Manager for Applied Research at Adobe, you will be the technical and strategic steward of this platform, translating state-of-the-art research into secure, production-ready capabilities ...
As a Manager for Applied Research at Adobe, you will be the technical and strategic steward of this platform, translating state-of-the-art research into secure, production-ready capabilities ...
... products that delight our customers every single day. Description The Knowledge Quality team is ... You will design and develop features for a platform that touches upon large-scale data management ...
... products that delight our customers every single day. Description The Knowledge Quality team is ... You will design and develop features for a platform that touches upon large-scale data management ...
... products that delight our customers every single day. Description The Knowledge Quality team is ... You will design and develop features for a platform that touches upon large-scale data management ...
... products that delight our customers every single day. Description The Knowledge Quality team is ... You will design and develop features for a platform that touches upon large-scale data management ...
Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications * Strong academic background required. MS in Computer Science or Machine Learning ...
Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications * Strong academic background required. MS in Computer Science or Machine Learning ...
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
The role involves designing and implementing machine learning models while collaborating closely with data and software engineers to optimize production pipelines. Responsibilities : • Build ...
The role involves designing and implementing machine learning models while collaborating closely with data and software engineers to optimize production pipelines. Responsibilities : • Build ...
Manager, Machine Learning Engineering, Web Ads Ranking
Palo Alto, CA · On-site
Medical
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
Manager, Machine Learning Engineering, Web Ads Ranking
Palo Alto, CA · On-site
Medical
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
Machine Learning Engineer II
Palo Alto, CA · On-site +1
$114K - $156K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Palo Alto, CA · On-site +1
$114K - $156K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Los Angeles, CA · On-site
$105K - $143K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Los Angeles, CA · On-site
$105K - $143K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope * Build the evaluation framework that enables rapid ...
Machine Learning Engineer II
Palo Alto, CA · On-site
$165K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Palo Alto, CA · On-site
$165K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$105K - $143K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$105K - $143K/yr
Medical
Dental
Vision
Retirement
PTO
... management * Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role:
Sr Manager, Machine Learning Engineering
San Jose, CA · On-site
$178.90 - $351.23/hr
As a Manager for Applied Research, you will translate cutting‑edge research into production‑ready capabilities and build a world‑class team. Responsibilities * Lead and grow a distributed team ...
Sr Manager, Machine Learning Engineering
San Jose, CA · On-site
$178.90 - $351.23/hr
As a Manager for Applied Research, you will translate cutting‑edge research into production‑ready capabilities and build a world‑class team. Responsibilities * Lead and grow a distributed team ...
Engineering Manager, Machine Learning Infrastructure, Ads
San Mateo, CA · On-site
$295K - $345K/yr
Lead strategic planning and roadmap execution of scalable production-ready ML systems including ... machine learning systems in production environments. * 2+ years of experience managing ML ...
Engineering Manager, Machine Learning Infrastructure, Ads
San Mateo, CA · On-site
$295K - $345K/yr
Lead strategic planning and roadmap execution of scalable production-ready ML systems including ... machine learning systems in production environments. * 2+ years of experience managing ML ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
... into production systems • Stay updated with the latest advancements in AI and machine learning • Ensure the ethical use of AI technologies Qualifications : Required : • Master's or Ph.D. in ...
... into production systems • Stay updated with the latest advancements in AI and machine learning • Ensure the ethical use of AI technologies Qualifications : Required : • Master's or Ph.D. in ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
Product Manager Machine Learning information
How does a product manager machine learning typically collaborate with data scientists and engineering teams?
Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.
What does a product manager machine learning do?
A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.
What is the difference between Product Manager Machine Learning vs Data Scientist?
| Aspect | Product Manager Machine Learning | Data Scientist |
|---|---|---|
| Primary Focus | Overseeing ML product development, strategy, and deployment | Analyzing data, building models, and deriving insights |
| Required Skills | Product management, ML understanding, cross-functional collaboration | Statistics, programming, data analysis |
| Work Environment | Product teams, engineering, business stakeholders | Data analysis teams, research, engineering |
| Common Certifications | Product management certifications, ML courses | Data science certifications, programming skills |
While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.
What are the key skills and qualifications needed to thrive as a product manager machine learning?
To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in California?
For Product Manager Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in California look for?
The top searched job categories for Product Manager Machine Learning jobs in California are:
What cities in California are hiring for Product Manager Machine Learning jobs?
Cities in California with the most Product Manager Machine Learning job openings:
Job description
Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Machine Learning Engineer in OpenAI's Integrity team, you will design and deploy advanced machine learning models, collaborate with cross-functional teams, and optimize models to ensure they deliver value in maintaining platform integrity.
Responsibilities:
• Design and deploy advanced machine learning models that solve real-world problems.
• Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
• Engage with the latest developments in machine learning and AI, participate in code reviews, and share knowledge.
• Monitor and maintain deployed models to ensure they continue delivering value.
Qualifications:
Required:
• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models
• Proficiency in frameworks like PyTorch or Tensorflow
• Strong foundation in data structures, algorithms, and software engineering principles.
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross-functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Preferred:
• Experience with content understanding or abuse prevention with LLMs is a plus
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Machine Learning Engineer in OpenAI's Integrity team, you will design and deploy advanced machine learning models, collaborate with cross-functional teams, and optimize models to ensure they deliver value in maintaining platform integrity.
Responsibilities:
• Design and deploy advanced machine learning models that solve real-world problems.
• Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
• Engage with the latest developments in machine learning and AI, participate in code reviews, and share knowledge.
• Monitor and maintain deployed models to ensure they continue delivering value.
Qualifications:
Required:
• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models
• Proficiency in frameworks like PyTorch or Tensorflow
• Strong foundation in data structures, algorithms, and software engineering principles.
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross-functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Preferred:
• Experience with content understanding or abuse prevention with LLMs is a plus
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About OpenAI
Sourced by ZipRecruiter
Industry
Scientific research and development services
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2015