The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
Machine Learning Engineer
San Francisco, CA · 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 ...
Machine Learning Engineer
San Francisco, CA · 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 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 ...
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 ...
Machine Learning Engineer
Fremont, CA · On-site
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 ...
Machine Learning Engineer
Fremont, CA · On-site
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 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 ...
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 ...
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 ...
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 ...
Our engineers work across robotics, software, hardware, machine learning, and clinical operations to bring robotic systems from concept to real-world deployment. We are a small, highly collaborative ...
Our engineers work across robotics, software, hardware, machine learning, and clinical operations to bring robotic systems from concept to real-world deployment. We are a small, highly collaborative ...
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
Machine Learning Engineer
Pleasanton, CA · On-site
$127K - $153K/yr
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
Machine Learning Engineer
Pleasanton, CA · On-site
$127K - $153K/yr
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
Machine Learning Engineer
$127K - $153K/yr
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
Machine Learning Engineer
$127K - $153K/yr
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
Machine Learning Engineer
Dublin, CA · On-site
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
Machine Learning Engineer
Dublin, CA · On-site
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment - We're remote-first, with meaningful office presence in San ...
About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment - We're remote-first, with meaningful office presence in San ...
Machine Learning Engineer
San Francisco, CA · On-site
$97K - $129K/yr
About The Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment -- We're remote‑first, with meaningful office presence in San ...
Machine Learning Engineer
San Francisco, CA · On-site
$97K - $129K/yr
About The Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment -- We're remote‑first, with meaningful office presence in San ...
Machine Learning Engineer
Dublin, CA · On-site
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
Machine Learning Engineer
Dublin, CA · On-site
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
Machine Learning Engineer
San Francisco, CA · On-site
$150K - $200K/yr
Machine Learning Engineer What you'll do * Design and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and ...
Machine Learning Engineer
San Francisco, CA · On-site
$150K - $200K/yr
Machine Learning Engineer What you'll do * Design and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and ...
Lead Machine Learning Engineer
San Francisco, CA · On-site
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...
Lead Machine Learning Engineer
San Francisco, CA · On-site
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...
Machine Learning Engineer
San Francisco, CA · On-site
$250K - $385K/yr
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
Machine Learning Engineer
San Francisco, CA · On-site
$250K - $385K/yr
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
Machine Learning Engineer : 26-02588
Pleasanton, CA · On-site +1
$55 - $60/hr
Hybrid/Remote (Must Support PST Hours) Pay Range: $55 - $60 on W2 Job Summary: We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine ...
Machine Learning Engineer : 26-02588
Pleasanton, CA · On-site +1
$55 - $60/hr
Hybrid/Remote (Must Support PST Hours) Pay Range: $55 - $60 on W2 Job Summary: We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine ...
Machine Learning Engineer Hybrid information
See Berkeley, CA salary details
$38.6K - $56.6K
1% of jobs
$56.6K - $74.6K
1% of jobs
$74.6K - $92.7K
5% of jobs
$92.7K - $110.7K
6% of jobs
$125.6K is the 25th percentile. Wages below this are outliers.
$110.7K - $128.7K
14% of jobs
$128.7K - $146.8K
14% of jobs
The median wage is $155.8K / yr.
$146.8K - $164.8K
18% of jobs
$164.8K - $182.8K
14% of jobs
$186.5K is the 75th percentile. Wages above this are outliers.
$182.8K - $200.9K
12% of jobs
$200.9K - $218.9K
11% of jobs
$218.9K - $236.9K
5% of jobs
$38.6K
$157.7K
$236.9K
How much do machine learning engineer hybrid jobs pay per year?
As of Sep 15, 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?
| Aspect | Machine Learning Engineer Hybrid | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, AI, or related; experience with ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops, tests, deploys ML models; collaborates with engineering teams | Analyzes data, builds models, interprets results; works across departments |
| Industry Usage | Tech, finance, healthcare, e-commerce | Research, 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:
Machine Learning Engineer
San Francisco, CA • On-site
Goodfire
Full-time
Re-posted 15 days ago
Job description
Job Summary:
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure, and product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure, and product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.