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Machine Learning Software Engineer Jobs in Massachusetts

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Xometry

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 ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

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 ...

DraftKings

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

DraftKings, Inc.

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

ECS

Software Engineer

Boston, MA · On-site

$140K - $175K/yr

ECS is seeking a Software Engineer to support the execution of a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval ...

Onto Innovation

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

They are seeking a highly motivated Software Engineer to develop frontend and backend solutions for optical metrology and inspection systems, focusing on machine control, machine learning, and image ...

Onto

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

Algorithms & Software Engineering ... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ...

WHOOP

Senior Machine Learning Engineer, Health

Boston, MA · On-site

$113K - $155K/yr

As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ... Preferred : • Experience developing ML-enabled software in a regulated or quality-managed ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Massachusetts

Machine Learning Software Engineer information

See Massachusetts salary details

$69.3K

$161.1K

$224.4K

How much do machine learning software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning software engineer in Massachusetts is $161,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,100.00 and $188,900.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Massachusetts? The most popular types of Machine Learning Software Engineer jobs in Massachusetts are:
What are popular job titles related to Machine Learning Software Engineer jobs in Massachusetts? For Machine Learning Software Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Massachusetts look for? The top searched job categories for Machine Learning Software Engineer jobs in Massachusetts are:
What are popular job titles related to Machine Learning Software Engineer jobs in MA? For Machine Learning Software Engineer jobs in MA, the most frequently searched job titles are:
Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $161,114 per year, or $77.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Ikigai Labs

Cambridge, MA • On-site

$125K - $150K/yr

Full-time

Posted 15 days ago

Job description

Company Description
The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.
With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI.
As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate 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 optimal performance and scalability.
  • Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS.
  • Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems.
  • Research Adaptation: Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications.
  • Collaborative Development: Work with cross-functional teams to integrate AI and ML solutions that drive business value.
  • Data Handling: Manage large datasets and build ML pipelines for data processing and training.
  • ETL/ELT Processes: Design and develop scalable data integration processes.
  • Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC.
  • Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges.
  • Stakeholder Management: Provide occasional support to our customer success team.

Technologies We Use:
  • Languages: Python3, C++, Rust, SQL
  • Frameworks: PyTorch, TensorFlow, Docker
  • Databases: Postgres, Elasticsearch, DynamoDB, RDS
  • Cloud: Kubernetes, Helm, EKS, Terraform, AWS
  • Data Engineering: Apache Arrow, Dremio, Ray
  • Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash

Qualifications:
  • Bachelor's degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level)
  • Strong understanding of data structures, data modeling, algorithms, and software architecture.
  • Proficient in probability, statistics, and algorithm development.
  • Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib).
  • (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm).
  • Proficiency in Python, AWS services, and ETL/ELT pipelines.
  • Understanding of key software design principles, design patterns, and testing best practices.
  • Experience with Kubernetes and/or EKS is a plus.
  • Ability to learn quickly in a fast-paced, agile environment.
  • Excellent organizational, time management, and communication skills.
  • Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback.
  • Strong problem-solving skills and the ability to take initiative.
Location Requirement: Candidates must reside in or near Cambridge, MA or San Mateo, CA. This role is not open to other locations at this time.
Equal Opportunity Employment:
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law.
If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI.

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