... Software Engineer building production ML systems. • Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). • Experience designing ...
... Software Engineer building production ML systems. • Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). • Experience designing ...
... Software Engineer building production ML systems. • Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). • Experience designing ...
... Software Engineer building production ML systems. • Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). • Experience designing ...
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...
... software. Responsibilities : • Design, build, and maintain production services that deliver ... Machine Learning Engineer or Software Engineer building production ML systems. • Proven ...
... software. Responsibilities : • Design, build, and maintain production services that deliver ... Machine Learning Engineer or Software Engineer building production ML systems. • Proven ...
Staff Software Engineer
Waltham, MA · Hybrid
Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to ...
Staff Software Engineer
Waltham, MA · Hybrid
Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to ...
Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on ...
Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on ...
Senior Machine Learning Engineer, Ad Serving
$195K - $435K/yr
We are looking for a staff-level machine learning engineer with deep research and data science ... Solid software engineering skills in languages such as Python, SQL, and Java/Scala * Strong CS ...
Senior Machine Learning Engineer, Ad Serving
$195K - $435K/yr
We are looking for a staff-level machine learning engineer with deep research and data science ... Solid software engineering skills in languages such as Python, SQL, and Java/Scala * Strong CS ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling
Machine Learning Engineer
Boston, MA · On-site
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling
Machine Learning Engineer
Boston, MA · On-site
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling
Lead Machine Learning Engineer
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Design, develop, test, deploy, and support AI software components utilizing machine learning models ...
Lead Machine Learning Engineer
$112K - $147K/yr
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Design, develop, test, deploy, and support AI software components utilizing machine learning models ...
Senior Machine Learning Engineer
Cambridge, MA · On-site +1
$82K - $220K/yr
Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ... Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best ...
Senior Machine Learning Engineer
Cambridge, MA · On-site +1
$82K - $220K/yr
Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ... Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best ...
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 ... Design, develop, test, deploy, and support AI software components utilizing machine learning models ...
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 ... Design, develop, test, deploy, and support AI software components utilizing machine learning models ...
Machine Learning Engineer
Boston, MA · On-site +1
... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...
Machine Learning Engineer
Boston, MA · On-site +1
... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...
Machine Learning Engineer
Boston, MA · On-site
$60/hr
... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...
Machine Learning Engineer
Boston, MA · On-site
$60/hr
... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...
Senior Machine Learning Engineer
Andover, MA · On-site
$124K - $163K/yr
Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...
Senior Machine Learning Engineer
Andover, MA · On-site
$124K - $163K/yr
Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure--deploying robust, scalable, and reliable ML solutions built ...
Quick apply
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure--deploying robust, scalable, and reliable ML solutions built ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
Senior Machine Learning Engineer - Prediction
Boston, MA · On-site +1
$146K - $225K/yr
Advanced knowledge of software engineering principles including software design, source control ... PhD in machine learning, computer vision, or robotics vision * Experience working on autonomous ...
Quick apply
Senior Machine Learning Engineer - Prediction
Boston, MA · On-site +1
$146K - $225K/yr
Advanced knowledge of software engineering principles including software design, source control ... PhD in machine learning, computer vision, or robotics vision * Experience working on autonomous ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built ...
Machine Learning Engineer Software Engineer information
See Cambridge, MA salary details
$69.4K - $83.5K
2% of jobs
$83.5K - $97.6K
4% of jobs
$97.6K - $111.7K
6% of jobs
$111.7K - $125.8K
8% of jobs
$133.4K is the 25th percentile. Wages below this are outliers.
$125.8K - $140K
7% of jobs
$140K - $154.1K
18% of jobs
The median wage is $157.4K / yr.
$154.1K - $168.2K
16% of jobs
$168.2K - $182.3K
2% of jobs
$188.1K is the 75th percentile. Wages above this are outliers.
$182.3K - $196.4K
26% of jobs
$196.4K - $210.5K
1% of jobs
$210.5K - $224.6K
8% of jobs
$69.4K
$161.2K
$224.6K
How much do machine learning engineer software engineer jobs pay per year?
As of Jul 10, 2026, the average yearly pay for machine learning engineer software engineer in Cambridge, MA is $161,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,200.00 and $189,100.00 per year, depending on experience, location, and employer.
What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, specialized ML courses | Bachelor's in CS or related field |
| Work Environment | Develops ML models, algorithms, data pipelines | Builds software applications, systems, APIs |
| Industry Usage | AI/ML projects, data-driven solutions | Web, mobile, enterprise software |
Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.
How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?
Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Cambridge, MA? For Machine Learning Engineer Software Engineer jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Cambridge, MA look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Cambridge, MA are:
- Seasonal Medical Imaging Machine Learning
- Machine Learning Engineer Opt
- Director Google Machine Learning Engineer
- No Experience Nvidia Machine Learning
- Reinforcement Learning Engineer
- New Grad Machine Learning
- Contract Apple Machine Learning Engineer
- Machine Learning Internship Microsoft
- Senior Meta Machine Learning
What cities near Cambridge, MA are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Cambridge, MA with the most Machine Learning Engineer Software Engineer job openings:
Job description
Job Summary:
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members.
Responsibilities:
• Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers.
• Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems that support robust model performance.
• Work alongside Applied ML Scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency.
• Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies.
• Collaborate with researchers and product teams to align model development with health insights and member impact.
• Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred).
• 7+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML systems.
• Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred).
• Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch).
• Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code.
• Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models.
• Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices.
• Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems.
• Experience developing ML-enabled software in a regulated or quality-managed environment (SaMD or medical device), with working knowledge of change control, quality documentation, traceability, and verification/validation practices.
• Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship.
• Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members.
Responsibilities:
• Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers.
• Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems that support robust model performance.
• Work alongside Applied ML Scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency.
• Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies.
• Collaborate with researchers and product teams to align model development with health insights and member impact.
• Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred).
• 7+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML systems.
• Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred).
• Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch).
• Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code.
• Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models.
• Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices.
• Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems.
• Experience developing ML-enabled software in a regulated or quality-managed environment (SaMD or medical device), with working knowledge of change control, quality documentation, traceability, and verification/validation practices.
• Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship.
• Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Whoop
Sourced by ZipRecruiter
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.
Industry
Fitness and sports centers
Company size
501 - 1,000 Employees
Headquarters location
Boston, MA, US
Year founded
2012