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Machine Learning Research Scientist Jobs in California

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 21-40

Machine Learning Research Scientist information

See California salary details

$49.8K

$128.4K

$171.7K

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

As of Aug 9, 2026, the average yearly pay for machine learning research scientist in California is $128,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the most commonly searched types of Machine Learning Research Scientist jobs in California? The most popular types of Machine Learning Research Scientist jobs in California are:
What job categories do people searching Machine Learning Research Scientist jobs in California look for? The top searched job categories for Machine Learning Research Scientist jobs in California are:
What cities in California are hiring for Machine Learning Research Scientist jobs? Cities in California with the most Machine Learning Research Scientist job openings:
Infographic showing various Machine Learning Research Scientist job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $128,413 per year, or $61.7 per hour.

AIML - Applied ML Research Scientist, Accessibility

Apple

Cupertino, CA

Full-time

Re-posted 11 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical and human-centered research challenges, collaborate with partner teams across Apple to ship products, and shape the field of human-centered AIML via external publication and engagement. Join us to design, study, and build intelligent interactive technologies that enable people of all abilities to use Apple technology.
Description
The Human Centered Machine Intelligence (HCMI) group designs, studies, and builds interactive technologies that enable people to benefit from machine learning. We are a close-knit team of research scientists and engineers in a unique position to do research and work closely with product teams throughout Apple. Our work has resulted in numerous award-winning research publications and groundbreaking technologies impacting millions of people. The Accessibility team within HCMI specifically focuses on core ML technologies that address grand challenges in accessibility, including equitable speech access to people with disabilities, visual understanding for people who are blind or low vision, communication access for people who use sign language, and more.","responsibilities":"Developing new ML modeling approaches around vision, time-series, or multimodal ML.
Advancing the state of the art on Accessibility-related problems.
Designing and analyzing experiments to evaluate machine learning modeling approaches.
Working with partner teams to integrate machine learning approaches into human-centered applications.
Evaluating ML-powered applications using human-centered methods.
Creating human-centered machine learning contributions to be shared internally and/or externally (e.g., in ML and human-computer interaction venues).
Preferred Qualifications
Experience designing machine learning models for sign language.
Experience conducting research in Accessibility (e.g., sign language, atypical speech, visual accessibility, or other topics).
Experience doing data collection or data curation (e.g., developing data or annotation protocols).
Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies).
Experience developing and shipping products that use machine learning.
Strong writing and presentation skills.
Minimum Qualifications
PhD in Machine Learning, Human Computer Interaction, Computer Science, or related field.
Experienced researcher in areas of machine learning, including computer vision or multi-modal modeling.
Publication and research record commensurate with seniority.
Proven history of turning research contributions into tools, guidelines, or products either commercially or as open source, or strong potential to do so.
Pay & Benefits
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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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