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Machine Learning Research Scientist Jobs (NOW HIRING)

Research Scientist

Cupertino, CA ยท 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 ...

Research Scientist

Cupertino, CA ยท 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 ...

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

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 ...

Posted today

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 ...

Posted today

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Machine Learning Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jul 15, 2026, the average yearly pay for machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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

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 are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

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 job?

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.

More about Machine Learning Research Scientist jobs
What cities are hiring for Machine Learning Research Scientist jobs? Cities with the most Machine Learning Research Scientist job openings:
What are the most commonly searched types of Machine Learning Research Scientist jobs? The most popular types of Machine Learning Research Scientist jobs are:
What states have the most Machine Learning Research Scientist jobs? States with the most job openings for Machine Learning Research Scientist jobs include:
Infographic showing various Machine Learning Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

Horizon Robotics

Cupertino, CA โ€ข On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

HORIZON ROBOTICS: Make human life safer and better
About Horizon Robotics
Horizon Robotics (HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale.
The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow machines to learn new knowledge and skills as efficiently as humans. 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, you will conduct research within a specialized focus area and collaborate with internal and external world-class researchers and applied engineering teams.
- Propose and formulate research problems towards solving AGI
- Design, implement and evaluate algorithms, models and prototypes of AI systems
- Collaborate with team members to achieve research goals
- Report and present research findings internally and externally (such as in top tier academic journals and/or conferences)
Here is what we'd like to see in you:
- PhD degree (or close to completion)) in computer science, machine learning, robotics, or related field, with a broad knowledge of machine learning approaches and theory
- Track record of coming up with and implementing new ideas in AI
- Strong ability in mathematically modeling real world problems
- Strong ability in implementing algorithms and systems
- Hunger for learning new things
- Passion in artificial general intelligence and willingness to do challenging deep research
- Experience in one or more fields of artificial intelligence such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, large language models, etc.
- Applicants must be able to obtain work authorization in the U.S. at the time of hire and maintain ongoing work authorization during employment.
This is a hybrid role with the expectation of working at least 3 days per week in our Cupertino office.
The base pay range for this full-time Research Scientist position is between $150,000 and $300,000/year plus equity incentive, depending on your experience, qualifications, education, skills and other related factors.
This position is also eligible for an annual performance bonus, and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance. We also offer a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off (PTO).
OPT extension, H-1B visas and green card petitions are sponsored.
$150,000 - $300,000 a year
Your compensation will be determined based on your location, experience, and the pay of employees in similar positions.
Horizon Robotics is committed to be an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
Privacy Notice to California Employees and Job Applicants
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.