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Machine Learning Engineer New Grad Jobs in Boston, MA

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Set the Standard - Proactively surface opportunity areas, take ownership of new processes and ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

Manulife

Senior Machine Learning Engineer

Boston, MA · On-site

$107K - $199K/yr

... new machine learning systems, unlocking their full potential to drive maximum business value. Key ... our AI engineering processes. What we are looking for * Bachelor's (and at least 5 years of ...

Teradyne

Software Machine Learning Engineer

Reading, MA · On-site

$116K - $186K/yr

Our employees are supported to innovate and learn something new every day. We cultivate a culture ... Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied ...

Chewy

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

... Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and ... You will lead new models from ideation to experimentation, and eventually to production delivery to ...

Rockstar Games

Senior Machine Learning Engineer

Andover, MA

$105K - $145K/yr

Senior Machine Learning Engineer Andover, Massachusetts, United States At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding ...

Teradyne

Software Machine Learning Engineer

Reading, MA

$116K - $186K/yr

Our employees are supported to innovate and learn something new every day. We cultivate a culture ... Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied ...

Chewy

Staff Machine Learning Engineer

Boston, MA

$186K - $297K/yr

... Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and ... You will lead new models from ideation to experimentation, and eventually to production delivery to ...

Capital One

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 ... You have the courage to share new ideas even when they are unproven. * You are deeply Technical.

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... You have the courage to share new ideas even when they are unproven. * You are deeply Technical.

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181K - $318K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181K - $318K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · On-site +1

$140K - $190K/yr

... of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud ... By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement ...

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Showing results 1-20

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Boston, MA

Machine Learning Engineer New Grad information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning engineer new grad in Boston, MA is $139,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Boston, MA? For Machine Learning Engineer New Grad jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Boston, MA look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Engineer New Grad jobs? Cities near Boston, MA with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Boston, MA as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution, with an average salary of $139,895 per year, or $67.3 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner's ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality.
Responsibilities
  • Lead with technical depth - Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives.
  • Own the Partner integration AI/ML plane - Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be responsible for designing the real-time ML serving architecture and the low-latency signal path that delivers DFM and pricing feedback directly into the designer's environment. This includes defining the data contracts for model inputs/outputs and implementing the MLOps, governance, and observability required for a mission-critical, public-marketplace partner integration.
  • Build for scale - Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure.
  • Solve ambiguous problems - Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives.
  • Set the Standard - Proactively surface opportunity areas, take ownership of new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives.
  • Champion quality and security - Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems.
  • Collaborate broadly - Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions.
  • Mentor and elevate - Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team.
  • Stay current - Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice.

Qualifications
  • Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
  • Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and
    reusability.
  • Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting.
  • Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar.
  • Solid grounding in software engineering fundamentals, data structures, and algorithms.
  • Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines.
  • Proficiency with CI/CD pipelines (e.g., Github actions),test driven development, and infrastructure as code (e.g., Terraform).
  • Experience profiling and optimizing existing ML model deployments for latency and throughput.
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and
    business audiences.
  • Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI.
  • Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems.
  • Background in manufacturing, supply chain, or marketplace environments is a plus - but curiosity and drive matter more.

The estimated base salary range for new hires into this role is $200,000-$220,000.00 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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