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Jr Machine Learning Engineer Jobs in Massachusetts

Machine Learning Engineer

Somerville, MA Β· On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

Machine Learning Engineer II

Boston, MA Β· On-site

$119K - $190K/yr

As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the ...

Machine Learning Engineer

Somerville, MA Β· On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

Machine Learning Engineer Job Duties * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

Lead Machine Learning Engineer

Boston, MA

$111K - $146K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Cambridge, MA Β· On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Cambridge, MA Β· On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

Invent workflows the industry does not yet have Preferred majors Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Math, Statistics, Electrical Engineering, Energy ...

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Jr Machine Learning Engineer information

What does a Jr Machine Learning Engineer do?

A Jr Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the guidance of more senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, testing, and helping to integrate models into production systems. They also work on debugging issues, documenting code, and staying up-to-date with the latest industry trends and tools. Junior engineers typically collaborate closely with cross-functional teams to deliver AI-powered solutions.

What are the key skills and qualifications needed to thrive as a Jr Machine Learning Engineer?

To thrive as a Jr Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as experience with data preprocessing and version control systems, is typically required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively help you stand out in this role. These competencies are crucial for developing, optimizing, and deploying machine learning models that address real-world business challenges.

What are some common challenges faced by Jr Machine Learning Engineers in their first year on the job?

Jr Machine Learning Engineers often encounter challenges such as understanding complex codebases, managing large datasets, and bridging the gap between academic concepts and real-world applications. Collaboration with data scientists, software engineers, and product teams can also be a learning curve, as effective communication is crucial for project success. Additionally, balancing tasks like model development, testing, and deployment within fast-paced agile environments can be demanding, but these experiences provide valuable opportunities for skill growth and professional development.

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

AspectJr Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often with advanced certifications
Work EnvironmentFocus on developing and deploying ML models, coding, and data preprocessingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, consulting, research institutions

The Jr Machine Learning Engineer primarily develops and deploys ML models, requiring coding skills and familiarity with ML frameworks. Data Scientists analyze data, build statistical models, and interpret insights. While both roles work with data, the Jr Machine Learning Engineer is more focused on implementation, whereas Data Scientists focus on analysis and strategy.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, industry, and experience. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities in Massachusetts are hiring for Jr Machine Learning Engineer jobs?

Cities in Massachusetts with the most Jr Machine Learning Engineer job openings:

Infographic showing various Jr Machine Learning Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

Somerville, MA β€’ On-site

Sierra Ventures
Investment Clubs and Venture Capital CompaniesΒ β€’Β 11 - 50 employees

$170K - $200K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 11 days ago


Key responsibilities

  • Design, train, evaluate, and deploy machine learning models for production applications

  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives

  • Analyze model performance and identify opportunities for improvement


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform β€” APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products
  • Advance our capabilities in conversational voice intelligence through applied research and engineering
  • Help translate business needs into scalable ML solutions
  • Improve model performance, reliability, and efficiency across our platform
  • Contribute to a collaborative, high‑performing engineering culture
What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications
  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
  • Conduct experiments to improve model quality, accuracy, robustness, and scalability
  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
  • Analyze model performance and identify opportunities for improvement
  • Communicate technical findings, tradeoffs, and recommendations to both technical and non‑technical stakeholders
  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems
  • Review code, share knowledge, and mentor teammates as needed
  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products
What We Are Looking For
  • Experience conducting machine learning research and shipping models to production
  • Strong experience building and deploying production‑grade machine learning systems
  • Strong experience with Python and PyTorch
  • Experience designing experiments and evaluating model performance
  • Ability to work across research and engineering disciplines to deliver business impact
  • Strong communication skills and the ability to explain complex technical concepts clearly
  • Experience working collaboratively in cross‑functional environments
Nice to Have
  • Experience communicating research externally through papers, conferences, or open‑source contributions
  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience building and maintaining large‑scale ML infrastructure or MLOps systems
  • Experience in fast‑paced startup environments
Benefits
  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with a strong culture of taking it
  • Weekly team lunches with dietary accommodations
  • Hybrid work with core in‑office days and flexible remote options
  • Leadership and technical learning sessions
  • Career development and continued growth support
  • Up to 8 weeks work‑from‑anywhere policy
  • A deeply inclusive, human‑centered culture
Pay Transparency

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyondβ€”and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias‑reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like peopleβ€”and we're building technology that does the same.

Ready to join us? Apply here or reach out directlyβ€”we're excited to meet you.

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