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Machine Learning Jobs in Lexington, MA (NOW HIRING)

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

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 ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

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 ...

Apple

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133K - $176K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181K - $318K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181K - $318K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering team. This role combines deep technical expertise in machine learning with strong leadership skills to ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$162K - $286K/yr

Senior Machine Learning Engineer Work Locations (2) Submit Resume Imagine what you could do here! The people here at Apple don't just create products -- they build the kind of wonder that ...

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Showing results 1-20

All JobsMachine Learning JobsMachine Learning Jobs in Lexington, MA

Machine Learning information

See Lexington, MA salary details

$28.6K

$47.8K

$98.9K

How much do machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning in Lexington, MA is $47,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,500.00 and $51,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Lexington, MA? The most popular types of Machine Learning jobs in Lexington, MA are:
What are popular job titles related to Machine Learning jobs in Lexington, MA? For Machine Learning jobs in Lexington, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Lexington, MA look for? The top searched job categories for Machine Learning jobs in Lexington, MA are:
What cities near Lexington, MA are hiring for Machine Learning jobs? Cities near Lexington, MA with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Lexington, MA as of May 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $47,844 per year, or $23 per hour.

Machine Learning Engineer

Ikigai Labs

Cambridge, MA • On-site

$125K - $150K/yr

Full-time

Posted 16 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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