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Director Machine Learning Research Jobs (NOW HIRING)

Jane Street

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252K/yr

The Machine Learning Research Engineer will propose and conduct research to optimize performance on Sohu, collaborating with hardware architects to develop software solutions that leverage the unique ...

Jane Street

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252K/yr

The Machine Learning Research Engineer will propose and conduct novel research to achieve results on Sohu, translating core mathematical operations into performant instruction sequences and ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... g., Director and above). • 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities: • ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Direct collaboration with experienced founders and engineers * Significant opportunities for growth ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

... g., Director and above). * 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology. Principal Duties and Responsibilities * Applies ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Research, develop, implement, and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment. * Actively participate with project ...

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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 Engineer

New York, NY • On-site

Jane Street
Finance and Insurance • 1 - 5K employees
Learn more about Jane Streetexternal

$224K/yr

Full-time

Re-posted 11 days ago

Job description

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.
Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.
We'll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML Research Engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them. We're looking for people who can be a true bridge between research and engineering, and can help us push forward the frontier of our model capabilities at all points of the stack. This could involve enabling a new scale in our technology stack, sitting on a team of Researchers to rapidly prototype a new research idea, or building workflow APIs that support a wide range of use cases.
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. While there isn't a fixed list of qualifications we're looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in.
We're looking for someone with:
  • Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
  • A strong mathematical background; Good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
  • A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
  • A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
  • Expertise wrangling an ML framework - we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow, or others
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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