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Research Assistant Machine Learning Jobs in California

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Responsibilities : • Assist in the development, training, and evaluation of ML models across a ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

... applied research in the space of Multilingual Large Language Models and Machine Translation, investigating novel modeling and learning approaches and evaluation methods. As a member of the core ...

... applied research in the space of Multilingual Large Language Models and Machine Translation, investigating novel modeling and learning approaches and evaluation methods. As a member of the core ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Write clean, modular, and sustainable code to translate research ideas into production-ready ...

Operations Research * Solid understanding of statistics and experimental methods for model evaluation and comparison. * Proven experience deploying, monitoring, and maintaining machine learning ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

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Research Assistant Machine Learning information

See California salary details

$8

$21

$31

How much do research assistant machine learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for research assistant machine learning in California is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.14 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a Research Assistant in Machine Learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in California? For Research Assistant Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in California look for? The top searched job categories for Research Assistant Machine Learning jobs in California are:
What cities in California are hiring for Research Assistant Machine Learning jobs? Cities in California with the most Research Assistant Machine Learning job openings:
Infographic showing various Research Assistant Machine Learning job openings in California as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,974 per year, or $21.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 21 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you love taking on big challenges that require exceptionally creative solutions? .The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience Experience with software coding in Python. Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch.
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills.Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge computer vision and machine learning research trends and models. Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

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