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Machine Learning Engineer Jobs in Lowell, MA (NOW HIRING)

DeepRec.ai

Machine Learning Engineer (LLM)

Boston, MA · On-site

$170K - $200K/yr

Machine Learning Engineer (LLM) Compensation: $170,000 - $200,000+ (DOE) Location: Boston or Berkeley, flexible 2-3 days per week in office We're working a fast‑growing AI company on a mission to ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

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 ...

Harvard University

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 ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$133K - $176K/yr

Senior Machine Learning Engineer Imagine what you could do here! The people here at Apple don't just create products -- they build the kind of wonder that's revolutionized entire industries. It's the ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

Staff Machine Learning Engineer Waltham, MA Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry ...

Ikigai Labs

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 ...

Ikigai Labs

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 ...

Indeed

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

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 ...

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$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 ...

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms and the data platform that supports them, along with designing and shipping models that optimize ...

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 ...

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 ...

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 ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

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 ...

Manulife

Senior Machine Learning Engineer

Boston, MA

$107K - $199K/yr

In this role, you will collaborate closely with Machine Learning Engineers, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lowell, MA

Machine Learning Engineer information

See Lowell, MA salary details

$31.2K

$127.7K

$191.9K

How much do machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer in Lowell, MA is $127,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $153,700.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Lowell, MA? The most popular types of Machine Learning Engineer jobs in Lowell, MA are:
What job categories do people searching Machine Learning Engineer jobs in Lowell, MA look for? The top searched job categories for Machine Learning Engineer jobs in Lowell, MA are:
What cities near Lowell, MA are hiring for Machine Learning Engineer jobs? Cities near Lowell, MA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lowell, MA as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,709 per year, or $61.4 per hour.

Machine Learning Engineer (LLM)

DeepRec.ai

Boston, MA • On-site

$170K - $200K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer (LLM)

Compensation: $170,000 - $200,000+ (DOE)
Location: Boston or Berkeley, flexible 2-3 days per week in office

We’re working a fast‑growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting‑edge AI to simplify high‑value processes, from multi‑turn conversations to full workflow automation.

As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi‑agent workflows. You’ll take ownership of designing, fine‑tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions.

What You’ll Do
  • Build, fine‑tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.
  • Develop APIs, data pipelines, and orchestration systems for multi‑agent, multi‑turn AI conversations.
  • Integrate models with backend services, including voice orchestration platforms and transcript generation.
  • Optimize model usage and efficiency, transitioning from external APIs to in‑house solutions.
  • Collaborate cross‑functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions.
What We’re Looking For Essential Skills & Experience
  • Strong proficiency in Python and ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
  • Hands‑on experience fine‑tuning and training LLMs.
  • Experience with PEFT, DPO, Prefence Optimization, post‑training, supervised fine tuning, RLHF.
  • Familiarity with AWS suite and deploying ML models to production.
  • Ability to reason deeply about ML principles, architectures, and design choices.
  • Knowledge of multi‑agent orchestration and conversational AI systems.
Desirable Skills & Experience
  • Background in voice AI, speech‑to‑text, or text‑to‑speech systems.
  • Exposure to financial services or insurance applications.
  • Familiarity with optimizing models for long‑context scenarios.

For additional information or to apply, please get in touch or apply directly.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Information Technology

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