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Director Machine Learning Research Jobs (NOW HIRING)

Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or ... Self-directed with an aptitude for nurturing collaborative teamwork across disciplines Required ...

... frontier of machine learning - including computer vision, image and video generation ... This position requires a highly self-directed individual, who is comfortable working at the cutting ...

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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

Manhattan, NY • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
The D.E. Shaw Group seeks a Machine Learning Research Engineer to apply their ML and software engineering expertise in designing and building computational architectures for knowledge discovery in financial data. The role involves leveraging cutting-edge ML research to create proof-of-concept implementations and improve the efficiency and scalability of the firm's ML efforts.
Responsibilities:
• Designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions
• Assembling these modules into end-to-end systems
• Interacting with researchers to achieve highly productive experimentation, model construction, and validation.
Qualifications:
Required:
• Bachelor’s degree or higher is required.
• Proven track record of collaborating with researchers to translate ML ideas into high-performance solutions.
• Experience driving computational and architectural innovation by rapidly prototyping and demonstrating novel ML ideas within a high-performance environment.
• Interest in staying current with ML research and swift application of new techniques.
• Expertise in performance optimization, low-level engineering, GPU programming and libraries (e.g., Pytorch, JAX, CUDA, XLA, Triton, or PTX).
• Demonstrated ability to quickly solve complex computational problems, create inspiring technical demos, and transition work to broader teams.
• Proactive approach in driving agendas and anticipating engineering bottlenecks in large systems.
• Proficiency in modern ML frameworks, facility with deep learning tooling, and a solid understanding of hardware and architectural challenges.
Company:
The D. E. Shaw group is trusted by investors across the world to seek an optimal balance of risk and reward. Founded in 1988, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.