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 ...
Machine Learning Engineer II
Palo Alto, CA · On-site
$165K/yr
... 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
... 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
... 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:
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Machine Learning Engineer II
Palo Alto, CA · On-site +1
$114K - $156K/yr
... 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
... 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
... 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
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 ...
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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 ...
Machine Learning Engineer II
Palo Alto, CA · On-site
$114K - $156K/yr
... 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
$114K - $156K/yr
... 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
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...
Machine Learning Engineer
$147K - $272K/yr
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...
Machine Learning Engineer
$147K - $272K/yr
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at ... Experience developing, evaluating and deploying machine learning models in production environments
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at ... Experience developing, evaluating and deploying machine learning models in production environments
Machine Learning Engineer
Sunnyvale, CA · On-site
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...
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 ...
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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 ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Description The MLE will collaborate with other MLEs to build scalable, production-ready ML ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Description The MLE will collaborate with other MLEs to build scalable, production-ready ML ...
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
Machine Learning Engineer
San Jose, CA · On-site
Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Engineer
San Jose, CA · On-site
Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Engineer
San Jose, CA · On-site
Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Engineer
San Jose, CA · On-site
Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Intern
San Francisco, CA · On-site
About the role As a Machine Learning Intern at Droyd, you'll work directly on the learning and ... You'll train models, run experiments, and help push research into production. You'll work closely ...
Machine Learning Intern
San Francisco, CA · On-site
About the role As a Machine Learning Intern at Droyd, you'll work directly on the learning and ... You'll train models, run experiments, and help push research into production. You'll work closely ...
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
Prior experience building and deploying real-world autonomous driving products, collaborating with ... machine learning workflows, data sampling and curation, pre-processing, model training, ablation ...
By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...
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By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...
Collaborate with senior data scientists and cross-functional teams (product, engineering, and ... Experience with machine learning techniques such as regression, classification, and clustering.
Collaborate with senior data scientists and cross-functional teams (product, engineering, and ... Experience with machine learning techniques such as regression, classification, and clustering.
Product Manager Machine Learning information
How does a Product Manager specializing in 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 for 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, and why are they important?
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:
Full-time
Posted 21 days ago
Key responsibilities
Build, maintain, and improve efficient and reliable data mining and machine learning models.
Design, implement, and tune machine learning models, and provide performance feedback.
Work closely with data engineers and software engineers to adapt data pipelines and put models into production.
Job description
Machine Learning Engineer
Full-time
Responsibilities
Full-time
Responsibilities
- Build, maintain, and improve efficient and reliable data mining and machine learning models.
- Design, implement and tune machine learning models, and provide performance feedback.
- Work closely with data engineers to adapt and improve data pipelines for production models.
- 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 with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
- Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
- Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
- Master with SQL or other relational database.
- Master in building and productionizing end-to-end machine learning systems.
- Knowledge and experience in cloud computing is a plus.
- Extensive data modeling and data architecture skills.
- Advanced math skills (linear algebra, Bayesian statistics, group theory).
- Ability to consistently exercise independent discretion and judgment on significant matters.
- Strong analytical, problem-solving and communication skills.
- Ability to work in a team environment