The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site
$158 - $193/hr
Senior Machine Learning Engineer Job Duties Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site
$158 - $193/hr
Senior Machine Learning Engineer Job Duties Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
Lead Machine Learning Engineer
Cambridge, MA · On-site
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...
Lead Machine Learning Engineer
Cambridge, MA · On-site
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...
Senior Machine Learning Engineer
Boston, MA · On-site
$120 - $160/hr
About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...
Senior Machine Learning Engineer
Boston, MA · On-site
$120 - $160/hr
About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...
Lead Machine Learning Engineer
Cambridge, MA · On-site
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...
Lead Machine Learning Engineer
Cambridge, MA · On-site
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...
Machine Learning Engineer II
Cambridge, MA · On-site
$106K - $145K/yr
We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...
Machine Learning Engineer II
Cambridge, MA · On-site
$106K - $145K/yr
We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site +1
$175K/yr
Senior Machine Learning Engineer Job Duties: Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site +1
$175K/yr
Senior Machine Learning Engineer Job Duties: Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
Machine Learning Engineer II
$106K - $145K/yr
We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...
Machine Learning Engineer II
$106K - $145K/yr
We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site
$175K/yr
Senior Machine Learning Engineer Job Duties: Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
Senior Machine Learning Engineer - Hybrid
Boston, MA · On-site
$175K/yr
Senior Machine Learning Engineer Job Duties: Package models, automate workflows, and operationalize analytics solutions to generate business value for organization's insurance division as member of U.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Senior Machine Learning Engineer
Boston, MA · On-site
$170K - $205K/yr
About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...
Senior Machine Learning Engineer
Boston, MA · On-site
$170K - $205K/yr
About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...
Senior Machine Learning Engineer Ai/Machine Learning/Boston
Boston, MA · On-site
$133K - $175K/yr
A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you'll be responsible ...
Senior Machine Learning Engineer Ai/Machine Learning/Boston
Boston, MA · On-site
$133K - $175K/yr
A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you'll be responsible ...
Senior Machine Learning Engineer
Lincoln, MA · On-site +1
$113K - $155K/yr
We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy advanced ML systems that power scalable, secure, and high-impact AI capabilities across the enterprise. The ...
Senior Machine Learning Engineer
Lincoln, MA · On-site +1
$113K - $155K/yr
We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy advanced ML systems that power scalable, secure, and high-impact AI capabilities across the enterprise. The ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer Biotech information
What does a machine learning engineer do in biotech?
A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.
How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?
Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.
What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?
To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.
What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?
| Aspect | Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, coding, deploying algorithms in biotech R&D | Analyzes biological data, interprets results, creates reports |
| Employer & Industry Usage | Biotech firms, pharma companies, research labs | Biotech companies, healthcare, research institutions |
While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.
What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Massachusetts?
The most popular types of Machine Learning Engineer Biotech jobs in Massachusetts are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Massachusetts?
For Machine Learning Engineer Biotech jobs in Massachusetts, the most frequently searched job titles are:
- Machine Engineer
- Deep Learning Engineer
- Machine Learning Engineer Intern
- Google Cloud Machine Learning Engineer
- Machine Learning Engineer From Home
- Machine Learning Ai Developer
- Senior Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Hourly Remote Machine Learning Engineer
What job categories do people searching Machine Learning Engineer Biotech jobs in Massachusetts look for?
The top searched job categories for Machine Learning Engineer Biotech jobs in Massachusetts are:
- Senior Machine Learning Visa Sponsorship
- Hourly Remote Machine Learning
- Ai Machine Learning Engineer
- Deep Learning Quantization
- Seasonal Medical Imaging Machine Learning
- Machine Learning Manager
- Sr Machine Learning Engineer
- Weekend Machine Learning
- Director Google Machine Learning Engineer
- Senior Meta Machine Learning
What cities in Massachusetts are hiring for Machine Learning Engineer Biotech jobs?
Cities in Massachusetts with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer - Computational Drug Discovery
Watertown, MA • On-site
Full-time
Re-posted yesterday
Job description
Job Summary:
4:59 NewCo, a 5AM Ventures Company, is focused on developing a pipeline of small molecules to address unmet clinical needs. The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Responsibilities:
• Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
• Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
• Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
• Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
• Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
• Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
• Hands-on experience developing machine learning systems using PyTorch
• Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
• Ability to communicate effectively with scientific collaborators from non-programming backgrounds
• Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
• We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred:
• Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
• Familiarity with LLM tooling, AI agents, or agent development frameworks
• Background in cheminformatics, computational biology, bioinformatics, or related fields
• Experience working in a startup, research, or other highly iterative technical environment
Company:
4:59 is a hands-on internal effort of 5AM Ventures to discover, incubate, and fund breakthrough science. Founded in , the company is headquartered in Boston, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.
4:59 NewCo, a 5AM Ventures Company, is focused on developing a pipeline of small molecules to address unmet clinical needs. The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Responsibilities:
• Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
• Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
• Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
• Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
• Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
• Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
• Hands-on experience developing machine learning systems using PyTorch
• Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
• Ability to communicate effectively with scientific collaborators from non-programming backgrounds
• Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
• We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred:
• Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
• Familiarity with LLM tooling, AI agents, or agent development frameworks
• Background in cheminformatics, computational biology, bioinformatics, or related fields
• Experience working in a startup, research, or other highly iterative technical environment
Company:
4:59 is a hands-on internal effort of 5AM Ventures to discover, incubate, and fund breakthrough science. Founded in , the company is headquartered in Boston, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.