They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next ...
As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next ...
Machine Learning Engineer
San Francisco, CA · On-site
$130 - $180/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...
Machine Learning Engineer
San Francisco, CA · On-site
$130 - $180/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...
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 ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
The Machine Learning Engineer will play a central role in building the core technology for training ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
The Machine Learning Engineer will play a central role in building the core technology for training ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
Software Engineer, New Grad
San Mateo, CA · On-site
$110 - $135/hr
## Software Engineer, New Grad### San Mateo, CAIXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion ...
Software Engineer, New Grad
San Mateo, CA · On-site
$110 - $135/hr
## Software Engineer, New Grad### San Mateo, CAIXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150.40 - $277.60/hr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150.40 - $277.60/hr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely ...
Machine Learning Engineer
San Francisco, CA · On-site +1
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 · On-site +1
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
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Machine Learning Engineer
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...
Machine Learning Engineer
$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 ...
Quick apply
Machine Learning Engineer
$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
Pleasanton, CA · On-site
Job#: 3043683 Hey, Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ... Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ...
Machine Learning Engineer
Pleasanton, CA · On-site
Job#: 3043683 Hey, Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ... Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ...
Machine Learning Engineer
Santa Monica, CA · On-site
$100 - $120/hr
Machine Learning Engineer Application Deadline: 30 September 2026 Department: Recruiting Done Employment Type: Full Time Location: Santa Monica Compensation: $100,000 - $120,000 / year Description ...
Machine Learning Engineer
Santa Monica, CA · On-site
$100 - $120/hr
Machine Learning Engineer Application Deadline: 30 September 2026 Department: Recruiting Done Employment Type: Full Time Location: Santa Monica Compensation: $100,000 - $120,000 / year Description ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... Enjoy following SOTA research into new models and agent architectures.
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... Enjoy following SOTA research into new models and agent architectures.
$160 - $190/hr
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 ...
$160 - $190/hr
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
$150K - $277K/yr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Machine Learning Engineer
$150K - $277K/yr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Machine Learning Engineer New Grad information
See California salary details
$31.1K - $45.6K
1% of jobs
$45.6K - $60.2K
1% of jobs
$60.2K - $74.7K
5% of jobs
$74.7K - $89.2K
6% of jobs
$101.2K is the 25th percentile. Wages below this are outliers.
$89.2K - $103.8K
14% of jobs
$103.8K - $118.3K
14% of jobs
The median wage is $125.6K / yr.
$118.3K - $132.8K
18% of jobs
$132.8K - $147.4K
14% of jobs
$150.3K is the 75th percentile. Wages above this are outliers.
$147.4K - $161.9K
12% of jobs
$161.9K - $176.4K
11% of jobs
$176.4K - $191K
5% of jobs
$31.1K
$127.1K
$191K
How much do machine learning engineer new grad jobs pay per year?
As of Aug 22, 2026, the average yearly pay for machine learning engineer new grad in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.
What is a machine learning engineer new grad?
A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.
What are the typical day-to-day tasks of a machine learning engineer new grad?
As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.
What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?
To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.
What are the most commonly searched types of Machine Learning Engineer New Grad jobs in California?
The most popular types of Machine Learning Engineer New Grad jobs in California are:
What are popular job titles related to Machine Learning Engineer New Grad jobs in California?
For Machine Learning Engineer New Grad jobs in California, the most frequently searched job titles are:
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer
- Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Senior Machine Learning Software Engineer
- Machine Learning Engineer Biotech
- Manager Remote Machine Learning Engineer
- Staff Software Engineer Machine Learning
- Volunteer Junior Machine Learning Engineer
What job categories do people searching Machine Learning Engineer New Grad jobs in California look for?
The top searched job categories for Machine Learning Engineer New Grad jobs in California are:
- Virtual Aws Machine Learning
- Artificial Intelligence Machine Learning Engineer
- Sr Machine Learning Engineer
- Machine Learning Manager
- Home Based Nvidia Machine Learning
- Physics Informed Machine Learning
- Weekend Machine Learning
- Learning Disability
- Freelance Google Machine Learning Engineer
- Contract Audio Machine Learning
What cities in California are hiring for Machine Learning Engineer New Grad jobs?
Cities in California with the most Machine Learning Engineer New Grad job openings:
Full-time
Re-posted 20 days ago
Job description
Job Summary:
Goodfire is a research company focused on understanding and designing AI systems. 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.
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 a research company focused on understanding and designing AI systems. 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.
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.