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.
Machine Learning Engineer
Boston, MA · On-site +1
The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...
Machine Learning Engineer
Boston, MA · On-site +1
The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...
The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...
The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...
The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...
The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...
Machine Learning Engineer, Data Mining
Boston, MA · On-site +1
$124K - $149K/yr
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...
Machine Learning Engineer, Data Mining
Boston, MA · On-site +1
$124K - $149K/yr
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...
Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Cambridge, MA · On-site
$114K - $156K/yr
Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific ...
Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Cambridge, MA · On-site
$114K - $156K/yr
Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific ...
They are seeking a Machine Learning Engineer to design, develop, and deploy applied AI solutions, emphasizing collaboration with cross-functional teams to build scalable ML systems that provide ...
They are seeking a Machine Learning Engineer to design, develop, and deploy applied AI solutions, emphasizing collaboration with cross-functional teams to build scalable ML systems that provide ...
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 Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine ...
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine ...
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
Cambridge, MA · On-site
$125K - $150K/yr
... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...
Machine Learning Engineer
Cambridge, MA · On-site
$125K - $150K/yr
... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...
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
Cambridge, MA · On-site
$135K - $200K/yr
... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...
Quick apply
Machine Learning Engineer
Cambridge, MA · On-site
$135K - $200K/yr
... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...
Machine Learning Engineer
Worcester, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Worcester, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Lowell, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Lowell, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
North Dartmouth, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
North Dartmouth, MA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Developer information
See Massachusetts salary details
$22.28 is the 25th percentile. Wages below this are outliers.
$19.95 - $23.32
36% of jobs
$23.32 - $26.68
0% of jobs
$26.68 - $30.05
0% of jobs
$30.05 - $33.41
0% of jobs
$33.41 - $36.78
0% of jobs
$36.78 - $40.14
0% of jobs
$40.14 - $43.51
7% of jobs
The median wage is $44.97 / hr.
$43.51 - $46.87
15% of jobs
$46.87 - $50.24
14% of jobs
$53.18 is the 75th percentile. Wages above this are outliers.
$50.24 - $53.60
2% of jobs
$53.60 - $56.97
25% of jobs
$19
$41
$56
How much do machine learning developer jobs pay per hour?
As of Jul 9, 2026, the average hourly pay for machine learning developer in Massachusetts is $41.96, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $56.68 per hour, depending on experience, location, and employer.
What does a Machine Learning Developer do?
A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.
Is ML a high paying job?
Machine Learning Developer roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries tend to be higher than average in tech hubs and increase with experience, certifications, and expertise in tools like TensorFlow or PyTorch.
What is a $900000 AI job?
A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.
Will MLE be replaced by AI?
Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and system integration. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Continuous learning and expertise in programming, data analysis, and model optimization remain critical for MLEs' roles.
What is the difference between Machine Learning Developer vs Data Scientist?
| Aspect | Machine Learning Developer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS ML | Bachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML |
| Work Environment | Develops and deploys ML models in software or cloud environments | Analyzes data, builds models, and provides insights for decision-making |
| Industry Usage | Used in tech, finance, healthcare for deploying ML solutions | Used across industries for data analysis, predictive modeling, and insights |
Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.
What engineer makes $500,000 a year?
Senior machine learning developers or AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.
What are some common challenges faced by Machine Learning Developers when deploying models to production environments?
Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.
What are the key skills and qualifications needed to thrive as a Machine Learning Developer, and why are they important?
To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.
What are popular job titles related to Machine Learning Developer jobs in Massachusetts? For Machine Learning Developer jobs in Massachusetts, the most frequently searched job titles are:
- Scientific Machine Learning
- Data Engineer Internship
- Remote Machine Learning Software Engineer
- Google Cloud Machine Learning Engineer
- Afternoon Music Label Internship
- Full Time Church Musician
- Machine Learning Engineer Apprenticeship
- Junior Machine Learning Engineer
- Machine Learning Engineer Biotech
- Remote Machine Learning Engineer Biotech
What job categories do people searching Machine Learning Developer jobs in Massachusetts look for? The top searched job categories for Machine Learning Developer jobs in Massachusetts are:
- Contract Google Machine Learning Engineer
- Internship Ixl Learning
- Embedded Machine Learning Internship
- Internship Music Distribution
- Reinforcement Learning Intern
- Remote Google Machine Learning Engineer
- Biology Machine Learning Intern
- Machine Learning Engineer Software Engineer
- Seasonal Medical Imaging Machine Learning
- Senior Music Festival Internship
Machine Learning Engineer - Computational Drug Discovery
Watertown, MA • On-site
Full-time
Posted 3 days ago
New
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.