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Overnight Machine Learning Research Scientist Jobs

Horizon Robotics

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 ...

Horizon Robotics

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 ...

webAI

AI Research Scientist

Austin, TX · On-site

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.

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Overnight Machine Learning Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jul 14, 2026, the average yearly pay for overnight 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 as an Overnight Machine Learning Research Scientist, and why are they important?

To thrive as an Overnight Machine Learning Research Scientist, you need a solid background in computer science, statistics, and mathematics, typically with a graduate degree in a related field. Proficiency in Python, TensorFlow or PyTorch, and experience with large-scale data systems are commonly required, along with relevant research publications or certifications. Strong problem-solving abilities, self-motivation, and clear written communication help you excel when working independently during overnight hours. These skills ensure effective research progress, continuous machine learning model development, and successful collaboration across time zones.

What are the unique challenges of working as an Overnight Machine Learning Research Scientist, and how is collaboration typically managed during off-hours?

As an Overnight Machine Learning Research Scientist, one of the unique challenges is maintaining effective communication and collaboration with teams that primarily work during daytime hours. To address this, organizations often utilize detailed handover notes, asynchronous communication tools, and regular overlap meetings to ensure research progress is continuous and aligned. You may also find that overnight shifts allow for uninterrupted experimentation and model training, which can be advantageous for large-scale computational tasks. However, adapting to the overnight schedule and balancing it with personal well-being is essential for long-term success in this role.

What does an Overnight Machine Learning Research Scientist do?

An Overnight Machine Learning Research Scientist is responsible for conducting research and developing new machine learning models and algorithms during overnight shifts. Their work often involves running large-scale experiments, analyzing data, and collaborating with global teams in different time zones. These scientists help ensure that research and development work continues seamlessly around the clock, accelerating innovation and supporting real-time projects. The overnight schedule may also involve monitoring models in production and troubleshooting any issues that arise during off-hours.
What cities are hiring for Overnight Machine Learning Research Scientist jobs? Cities with the most Overnight 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 Overnight Machine Learning Research Scientist jobs? States with the most job openings for Overnight Machine Learning Research Scientist jobs include:
Overnight Machine Learning Research Scientist jobs near you

Research Scientist

Horizon Robotics

Cupertino, CA • 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.

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