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Machine Learning Deep Learning Research Engineer Jobs

Quid, Inc.

Staff Deep Learning Engineer

Columbia, MD · On-site

$200 - $250/hr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

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 ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... Machine Learning, or a related field. A graduate-level foundation in deep learning theory is required, not just applied experience. * 6+ years of experience in deep learning research and engineering ...

Corning Inc.

Machine Learning Modeling Engineer

Corning, NY · On-site

$100 - $125/hr

Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives. * Partner with scientists, engineers, and business ...

Texas Instruments

In this machine learning research engineer intern role, you'll have the chance to: * Research and ... Develop and maintain large-scale deep learning systems, incorporating LLMs and other AI techniques

New

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... Machine Learning, or a related field. A graduate-level foundation in deep learning theory is required, not just applied experience. * 6+ years of experience in deep learning research and engineering ...

Corning

Machine Learning Modeling Engineer

Corning, NY · On-site

Key Responsibilities Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives. Partner with scientists ...

Apple

Machine Learning Research Engineer

Cupertino, CA · On-site

... engineer on our team, you will research practical ML algorithms and build with us the next ... D. work Proven track record of success in deep learning, with publications in top ML/CV venues ...

Parisi Labs

Machine Learning Research Engineer

Boston, MA · On-site

$210K - $275K/yr

About The Role We are looking for a machine learning research engineer to work directly with our Chief Scientist and accelerate our core modeling work. You will inherit a real model and evaluation ...

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Machine Learning Deep Learning Research Engineer information

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$37K

$106K

$142.5K

How much do machine learning deep learning research engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning deep learning research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What states have the most Machine Learning Deep Learning Research Engineer jobs?

States with the most job openings for Machine Learning Deep Learning Research Engineer jobs include:

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

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

Infographic showing various Machine Learning Deep Learning Research Engineer job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Machine Learning Research Engineer

Manhattan, NY • On-site

The D. E. Shaw Group
See more jobs at The D. E. Shaw Groupexternal

Full-time

Re-posted 5 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.

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