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Machine Learning Research Engineer 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 ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224.30K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252.90K/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 ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $224K/yr

EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows ... Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or ...

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

As of Jun 1, 2026, the average yearly pay for machine 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 does a Machine Learning Research Engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Engineer position, and why are they important?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What are some common challenges faced by Machine Learning Research Engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.
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Machine Learning Research Engineer jobs near you
Infographic showing various Machine Learning Research Engineer job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 7% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Machine Learning Research Engineer

Roboflow

Remote

Full-time

Posted 5 days ago

Job description

Job Summary:
Roboflow is a company dedicated to making the world programmable through artificial intelligence, focusing on simplifying the development and use of computer vision models. 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 challenges.
Responsibilities:
• Develop novel machine learning methods and contribute to the research agenda of the team.
• Identify areas for innovation, create novel approaches, and write papers aimed at top conferences.
• Help translate research methods into production systems running at scale.
Qualifications:
Required:
• Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field of study, or equivalent industry experience
• History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.)
• Proficient in Python
• Values scientific rigour, reproducibility, and high quality software
• Passionate about computer vision and solving problems users value
• Pragmatic approach to utility in practice (not just in theory)
Preferred:
• Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure
• Expertise in PyTorch
Company:
Roboflow is a developer tool for building computer vision models faster and more accurately. Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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