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Research Developer Jobs in Massachusetts (NOW HIRING)

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 ...

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize machine learning systems that power their antibody design platform and advance protein design ...

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...

The team is hiring for a Research Data Engineer. In the role, you will be working with raw sensor data from the company's products in addition to ground truth data to confirm algorithms leading to ...

Matlab programing skills are a plus. Development opportunity will be provided through learning from in-house expertise as well as attending off-site seminars and training classes. Qualifications B.S ...

Showing results 21-40

Research Developer information

See Massachusetts salary details

$17

$65

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How much do research developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for research developer in Massachusetts is $65.55, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.69 per hour, depending on experience, location, and employer.
Infographic showing various Research Developer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,344 per year, or $65.5 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.