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Ai Ml Research Engineer Jobs (NOW HIRING)

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

... Engineer to join our growing AI team. You will work closely with our research scientists to ... Your efforts will contribute to building production-ready ML infrastructure that enables ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize ... and deploy ML infrastructure for distributed training and inference across GPU clusters • ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize ... and deploy ML infrastructure for distributed training and inference across GPU clusters • ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize ... and deploy ML infrastructure for distributed training and inference across GPU clusters • ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

Scale AI is a company focused on developing reliable AI systems for critical decisions. The ML Research Engineer will build and optimize the internal distributed framework for large language model ...

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

At Maple, we're building AI agents that work for restaurants. These agents answer calls, take ... About the Role As an ML Research Engineer at Maple, you'll be a part of our core product team ...

Apple

ML Research Engineer

Cupertino, CA · On-site

... AI tooling such as Claude and excellent high-level design skills - allowing building robust ... in ML systems, performance engineering, or a related area Experience implementing custom ops in ...

Apple

ML Research Engineer

Cupertino, CA

$184K - $324K/yr

Video is at the core of nearly all Apple products, and as a research engineer on our team, you will ... AI tooling such as Claude and excellent high-level design skills - allowing building robust ...

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Ai Ml Research Engineer information

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$37K

$106K

$142.5K

How much do ai ml research engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai ml 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 is the difference between Ai Ml Research Engineer vs Data Scientist?

AspectAi Ml Research EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience in ML frameworksDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, consulting firms, tech companies
Employer & Industry UsageFocus on developing new AI/ML algorithms and modelsAnalyzing data to inform business decisions and strategies

While both roles involve working with data and machine learning, Ai Ml Research Engineers primarily focus on developing and improving AI algorithms and models, often in research settings. Data Scientists analyze data to extract insights and support decision-making. The roles overlap in skills and tools but differ in their core objectives and work environments.

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What cities are hiring for Ai Ml Research Engineer jobs? Cities with the most Ai Ml Research Engineer job openings:
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Ai Ml Research Engineer jobs near you
Infographic showing various Ai Ml Research Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,012 per year, or $51 per hour.

AI/ML Research Engineer

Manifold Bio

Boston, MA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of production-ready ML infrastructure for breakthroughs in protein therapeutics.
Responsibilities:
• Implement and optimize machine learning models for protein design
• Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
• Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
• Collaborate with research scientists to translate experimental ML approaches into production-ready code
• Design and execute ML experiments with clear hypotheses and rigorous analysis
• Optimize model performance and computational efficiency for large-scale protein design tasks
• Build tools and utilities to support rapid prototyping and experimentation by the research team
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications
• Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Experience with distributed computing and GPU optimization techniques
• Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences
• Understanding of modern deep learning architectures and optimization techniques
• Experience implementing research papers or translating ML approaches to production systems
• Proficiency with version control (Git), testing frameworks, and software engineering best practices
• Strong problem-solving skills and ability to work independently on technical challenges
• Excellent written and verbal communication skills for cross-functional collaboration
Preferred:
• Experience training LLMs or diffusion generative models
• Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)
• Background in computational biology, bioinformatics, or structural biology
• Experience with large-scale data engineering and ETL pipelines
• Familiarity with MLOps practices and model deployment frameworks
Company:
Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement. Founded in 2020, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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