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Machine Learning Research Engineer Jobs in California

Research Engineer (Voice / Speech AI) 📍 San Francisco, CA (Onsite) I am seeking a Research ... Strong machine learning research background with the ability to translate research into production ...

Come join the team that turned cutting edge Generative AI research into compelling user experiences ... Description We are seeking a machine learning research engineer with experience building modern ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON ) from ... Collaborate with ML researchers, engineers, and product designers to move from experimentation to ...

Machine Learning - Research

San Francisco, CA · On-site

$241K/yr

Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics ... Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer ...

The Camera & Depth Architecture organization is responsible for research, design, and ... As part of our machine learning team, you will play a vital role in prototyping foundational ...

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a pivotal role in pioneering advanced solutions. In this role, you will lead end-to-end research projects ...

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a pivotal role in pioneering advanced solutions. In this role, you will lead end-to-end research projects ...

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Machine Learning Research Engineer information

See California salary details

$36.5K

$104.6K

$140.6K

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

As of Jul 11, 2026, the average yearly pay for machine learning research engineer in California is $104,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A machine learning research engineer develops and improves algorithms and models that enable computers to learn from data. They often work on creating new techniques, testing prototypes, and publishing findings, using tools like Python, TensorFlow, or PyTorch. Their work supports advancing AI capabilities and typically requires strong programming, statistical, and mathematical skills.

How much do ML research engineers make?

Machine Learning Research Engineers typically earn between $90,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, NLP, or computer vision can earn over $200,000. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does a Machine Learning Research Engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are some common challenges faced by Machine Learning Research Engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Engineer position, and why are they important?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What engineers make $500,000?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What engineers make $300,000 a year?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often a strong publication record can earn $300,000 or more annually. Compensation varies based on industry, location, company size, and individual expertise, with roles in tech giants and finance firms typically offering higher salaries.
What job categories do people searching Machine Learning Research Engineer jobs in California look for? The top searched job categories for Machine Learning Research Engineer jobs in California are:
ML Safety & Benchmarking Research Engineer

ML Safety & Benchmarking Research Engineer

Apple Inc.

San Francisco, CA

Full-time

Medical, Dental

Posted 27 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

A leading technology company located in San Francisco is seeking a Machine Learning Research Engineer to design and develop safe AI benchmarking methodologies. This role involves collaboration with various teams to implement responsible evaluation techniques. Candidates should possess a strong research background, proficiency in Python, and experience in AI/ML model evaluation. The position offers competitive compensation, stock option opportunities, and comprehensive benefits including medical, dental coverage, and educational reimbursement. #J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976