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 ...
They are seeking a Machine Learning Engineer to build and deploy machine learning models for core ... post-grad machine learning experience; or PhD in a relevant technical field • Experience ...
New
They are seeking a Machine Learning Engineer to build and deploy machine learning models for core ... post-grad machine learning experience; or PhD in a relevant technical field • Experience ...
New
Machine Learning Engineer
San Jose, CA · On-site
Adobe is at the forefront of driving digital transformation and is seeking a Machine Learning Engineer to develop machine learning models and algorithms. The role involves collaborating with multi ...
Machine Learning Engineer
San Jose, CA · On-site
Adobe is at the forefront of driving digital transformation and is seeking a Machine Learning Engineer to develop machine learning models and algorithms. The role involves collaborating with multi ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
They are seeking a Machine Learning Engineer to build and deploy machine learning models for core ... post-grad machine learning experience; or PhD in a relevant technical field • Experience ...
New
They are seeking a Machine Learning Engineer to build and deploy machine learning models for core ... post-grad machine learning experience; or PhD in a relevant technical field • Experience ...
New
Machine Learning Engineer
San Francisco, CA · On-site
$130K - $170K/yr
Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of ...
Machine Learning Engineer
San Francisco, CA · On-site
$130K - $170K/yr
Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of ...
Are you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users ...
Are you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users ...
Machine Learning Engineer
Los Angeles, CA · On-site
The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models ...
Machine Learning Engineer
Los Angeles, CA · On-site
The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models ...
Machine Learning Engineer
Cupertino, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... new tools to multi-modal sensor fusion problems in health and wellness. You will work across the ...
Machine Learning Engineer
Cupertino, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... new tools to multi-modal sensor fusion problems in health and wellness. You will work across the ...
Machine Learning Engineer
San Diego, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... new tools to multi-modal sensor fusion problems in health and wellness. You will work across the ...
Machine Learning Engineer
San Diego, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... new tools to multi-modal sensor fusion problems in health and wellness. You will work across the ...
Machine Learning Engineer Only on W2 Duration: 12 months Location: Mountain View, CA (Local candidates Required) Position Summary We are looking for an experienced Machine Learning Engineer to lead ...
Machine Learning Engineer Only on W2 Duration: 12 months Location: Mountain View, CA (Local candidates Required) Position Summary We are looking for an experienced Machine Learning Engineer to lead ...
Machine Learning Engineer
San Mateo, CA · On-site
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 Mateo, CA · On-site
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 ...
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
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 ...
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... You'll work with cross-functional teams to design new BCI functionalities and novel computer user ...
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... You'll work with cross-functional teams to design new BCI functionalities and novel computer user ...
Machine Learning Engineer
Fremont, CA · On-site
They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...
Machine Learning Engineer
Fremont, CA · On-site
They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...
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 ...
Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...
Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...
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 ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
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 May 29, 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 job?
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 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 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.
More about Machine Learning Engineer New Grad jobs
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:
- Manager Remote Machine Learning Engineer
- Temporary Machine Learning R
- Flexible Machine Learning Engineer Biotech
- Machine Learning Engineer
- Senior Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Machine Learning Specialist
- Remote Senior Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
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:
- Machine Learning Biomedical Engineer
- Entry Level Google Machine Learning Engineer
- Nlp Practitioner
- Online Machine Learning
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- Patterned Learning Ai
- Freelance Deep Reinforcement Learning
- Senior Meta Machine Learning
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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
Posted 25 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.