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Full Time Machine Learning Research Scientist Jobs

MongoDB

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

They are seeking a Senior Research Scientist to contribute to the development of cutting-edge AI models, focusing on machine learning research and the practical deployment of large neural networks.

ISEE

Research Scientist - Machine Learning

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several ... Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ...

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Full Time Machine Learning Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Aug 3, 2026, the average yearly pay for full time 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 is the difference between Full Time Machine Learning Research Scientist vs Data Scientist?

AspectFull Time Machine Learning Research ScientistData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; some research experience
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, AI startupsTech firms, finance, healthcare, e-commerce
Search & Comparison IntentFocus on research, algorithms, and innovationFocus on data analysis, insights, and application

While both roles involve working with data and algorithms, a Full Time Machine Learning Research Scientist primarily focuses on developing new models and advancing ML research, often in academic or research settings. In contrast, a Data Scientist applies existing models to solve business problems, analyze data, and generate insights within industry environments.

What cities are hiring for Full Time Machine Learning Research Scientist jobs? Cities with the most Full Time 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 Full Time Machine Learning Research Scientist jobs? States with the most job openings for Full Time Machine Learning Research Scientist jobs include:
Full Time Machine Learning Research Scientist jobs near you

Machine Learning Research Scientist

Autoscience

Menlo Park, CA • On-site

Full-time

PTO

Re-posted 23 days ago

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

  • Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.

  • Collaborate with the engineering team to build and deploy production-ready research systems.

  • RL post-train and fine-tune reasoning models to automate components of the machine learning research process.

  • Stay current with the latest developments in AI research and automation.

Qualifications:

  • Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.

  • Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc).

  • Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.

  • Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.

Recommended Qualifications

  • Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).

  • Science: Any background or proven interested in Automated Scientific Research is a plus.

Benefits & Perks

  • Our comp is competitive against major LLM frontier lab packages

  • Unlimited PTO and flexible working arrangements

  • Conference attendance and publication support

Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development
We are an e-verify employer.