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Machine Learning Engineer Hybrid Jobs in Berkeley, CA

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ... Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Designation Hybrid: Employee divides their time between in-office and remote work. Access to an ...

Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...

Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

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Showing results 1-20

Machine Learning Engineer Hybrid information

See Berkeley, CA salary details

$38.6K

$157.7K

$236.9K

How much do machine learning engineer hybrid jobs pay per year?

As of Jul 19, 2026, the average yearly pay for machine learning engineer hybrid in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Berkeley, CA? For Machine Learning Engineer Hybrid jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Hybrid jobs in Berkeley, CA look for? The top searched job categories for Machine Learning Engineer Hybrid jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Machine Learning Engineer Hybrid jobs? Cities near Berkeley, CA with the most Machine Learning Engineer Hybrid job openings:
Infographic showing various Machine Learning Engineer Hybrid job openings in Berkeley, CA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $157,670 per year, or $75.8 per hour.

Machine Learning Engineer

Aivra Health LLC

San Francisco, CA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Machine Learning Engineer

Location: San Francisco, CA, USA (Hybrid/Remote)

Job Type: Full-Time

About the Role

We are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions.

Key Responsibilities
  • Design, train, and deploy machine learning models.
  • Build data preprocessing and feature engineering pipelines.
  • Optimize model performance and accuracy.
  • Deploy ML models into production environments.
  • Collaborate with Data Scientists and Software Engineers.
  • Monitor model performance and retrain models when needed.
  • Maintain documentation for ML workflows.
  • Research and implement new machine learning techniques.
Required Qualifications
  • Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong Python programming skills.
  • Knowledge of Machine Learning algorithms.
  • Understanding of statistics and data structures.
  • Excellent analytical and problem-solving skills.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • MLflow
  • AWS
  • Docker
  • Kubernetes
  • SQL
  • Git
Benefits
  • Health Insurance
  • Paid Time Off
  • Flexible Work Schedule
  • Learning & Development
  • 401(k)
  • Career Growth Opportunities