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Director Machine Learning Research Jobs (NOW HIRING)

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

Apple

AIML - Machine Learning Research

Seattle, WA · On-site

$142K - $263K/yr

... user with a direct answer that best satisfies their intent and information seeking needs ... Experienced researcher with publications in areas of machine learning, including natural language ...

Parisi Labs

ML Research Scientist

Boston, MA · On-site

$210K - $275K/yr

We are a small technical team working across machine learning, data infrastructure, software, and real-world operations. About The Role We are looking for an ML Research Scientist to develop ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

We apply deep learning research to large scale neural datasets to decode internal thought directly ... You will design and implement advanced machine learning models for EEG-based neural decoding ...

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Director Machine Learning Research information

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$57.5K

$191.3K

$230.5K

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

As of Sep 11, 2026, the average yearly pay for director machine learning research in the United States is $191,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $229,000.00 per year, depending on experience, location, and employer.

What does a director of machine learning do?

A director of machine learning oversees research and development of machine learning models and algorithms, guiding teams of data scientists and engineers. They set strategic goals, ensure project alignment with business objectives, and often work with tools like Python, TensorFlow, or PyTorch. This role typically requires strong leadership, technical expertise, and experience in AI and data science methodologies.

What are the most commonly searched types of Machine Learning Research jobs?

The most popular types of Machine Learning Research jobs are:

What are popular job titles related to Director Machine Learning Research jobs?

For Director Machine Learning Research jobs, the most frequently searched job titles are:

Infographic showing various Director Machine Learning Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $191,320 per year, or $92 per hour.

Machine Learning Research Scientist

San Mateo, CA • On-site

Voiceflow
Software Development • 11 - 50 employees
Learn more about Voiceflowexternal

Other

PTO

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.

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