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Overnight Machine Learning Research Scientist Jobs

LLNL

Machine Learning Research Engineer

Livermore, CA

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

LLNL

Machine Learning Research Engineer

Livermore, CA

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

ISEE

Research Scientist - Machine Learning

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

SmarterDx

Staff Machine Learning Research Scientist

$220K - $260K/yr

As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You'll work at the ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

This role involves developing advanced algorithms, optimizing research processes, and mentoring ... Science, Machine Learning, Statistics or a related discipline • Proven track record of impactful ...

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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 Jun 9, 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.
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Overnight Machine Learning Research Scientist jobs near you
Infographic showing various Overnight Machine Learning Research Scientist job openings in the United States as of May 2026, with employment types broken down into 9% As Needed, 27% Full Time, 55% Part Time, and 9% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Senior / Staff Machine Learning Research Scientist, Agents

Senior / Staff Machine Learning Research Scientist, Agents

Scale AI

Seattle, WA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Senior / Staff Machine Learning Research Scientist will explore data landscapes essential for building advanced AI agents, guide data strategies, and contribute to impactful research while collaborating with engineering teams to create scalable solutions.
Responsibilities:
• Explore the data landscape needed to advance intelligent, adaptable AI agents.
• Guide the data strategy at Scale to drive innovation.
• Contribute to impactful research publications on agents.
• Collaborate with customer researchers.
• Work alongside the engineering team to translate advancements into real-world, scalable solutions.
Qualifications:
Required:
• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally.
Preferred:
• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH.
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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