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 ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
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 ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
Machine Learning Engineer
Los Angeles, CA · On-site
About the Role We are looking for a machine learning engineer to build and advance the core intelligence that powers Ensense AI. You will work directly with the founders to design models, build ...
New
Machine Learning Engineer
Los Angeles, CA · On-site
About the Role We are looking for a machine learning engineer to build and advance the core intelligence that powers Ensense AI. You will work directly with the founders to design models, build ...
New
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * AND 2+ years of experience with RF signal processing * Must be ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * AND 2+ years of experience with RF signal processing * Must be ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...
Machine Learning Engineer
Chatsworth, CA · On-site
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Quick apply
Machine Learning Engineer
Chatsworth, CA · On-site
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * AND 2+ years of experience with RF signal processing * Must be ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * AND 2+ years of experience with RF signal processing * Must be ...
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
Machine Learning Engineer
Santa Clara, CA · On-site
$150K - $277K/yr
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
Santa Clara, CA · On-site
$150K - $277K/yr
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
$150K - $277K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
$150K - $277K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer Associate information
See California salary details
$41K - $49.1K
1% of jobs
$49.1K - $57.2K
6% of jobs
$57.2K - $65.3K
17% of jobs
$65.4K is the 25th percentile. Wages below this are outliers.
$65.3K - $73.4K
22% of jobs
The median wage is $75.1K / yr.
$73.4K - $81.6K
18% of jobs
$81.6K - $89.7K
10% of jobs
$90.4K is the 75th percentile. Wages above this are outliers.
$89.7K - $97.8K
10% of jobs
$97.8K - $105.9K
8% of jobs
$105.9K - $114K
4% of jobs
$114K - $122.2K
2% of jobs
$122.2K - $130.3K
2% of jobs
$41K
$81.6K
$130.3K
How much do machine learning engineer associate jobs pay per year?
As of Sep 2, 2026, the average yearly pay for machine learning engineer associate in California is $81,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $93,800.00 per year, depending on experience, location, and employer.
What is a machine learning engineer associate?
Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are some common challenges faced by machine learning engineer associates when deploying models to production?
Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.
What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?
To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in California?
The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Machine Learning Engineer Associate jobs in California?
For Machine Learning Engineer Associate jobs in California, the most frequently searched job titles are:
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
- Machine Engineer
- Machine Learning Engineer New Grad
- Senior Machine Learning Engineer
- Machine Learning Engineer Biotech
- Senior Machine Learning Software Engineer
- Senior Machine Learning Researcher
- Machine Learning Engineer Intern
What job categories do people searching Machine Learning Engineer Associate jobs in California look for?
The top searched job categories for Machine Learning Engineer Associate jobs in California are:
- Freelance Machine Learning Compiler Engineer
- Machine Learning Engineer Opt
- Artificial Intelligence Machine Learning Engineer
- Staff Machine Learning Engineer
- Senior Meta Machine Learning
- Machine Learning Ai
- Senior Staff Machine Learning Engineer
- No Experience Nvidia Machine Learning
- Founding Machine Learning Engineer
- Machine Learning
What cities in California are hiring for Machine Learning Engineer Associate jobs?
Cities in California with the most Machine Learning Engineer Associate job openings:
Full-time
Re-posted 2 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.