2

Remote Java Machine Learning Jobs in Massachusetts

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Proficiency in programming languages such as Python, R, Java, or C++ for developing and optimizing machine learning algorithms. * Familiarity with big data technologies and distributed computing ...

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 ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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 ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

next page

Showing results 1-20

Remote Java Machine Learning information

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.

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

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.
What cities in Massachusetts are hiring for Remote Java Machine Learning jobs? Cities in Massachusetts with the most Remote Java Machine Learning job openings:

Machine Learning Team Lead

Venturefizz Product Management Community

Somerville, MA • On-site, Remote

$170K - $210K/yr

Other

Medical, Dental, Vision, PTO

Posted 5 days ago


Job description

Machine Learning Team Lead

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 — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

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 ensure the team is focused, effective, and aligned with business priorities. You will work closely with executive stakeholders while supporting a high-performing, collaborative research team.

Your Impact

  • Lead and support Modulate's machine learning research and engineering team
  • Ensure the team is aligned with business priorities and product needs
  • Help grow team capability through hiring, mentoring, and skill development
  • Maintain high team morale and an effective, collaborative culture
  • Drive clarity on feasibility, prioritization, and estimation of ML work
  • Ensure Modulate continues to ship high-quality, impactful ML models

What You Will Do

  • Collaborate with engineers, researchers, and executives (CTO, CEO, VP Product/Design) on ML strategy and priorities
  • Deeply understand the team's models and research to guide technical direction
  • Help prioritize research and engineering efforts based on impact and feasibility
  • Support the team in designing, training, and shipping machine learning models
  • Mentor researchers and engineers and support their technical growth
  • Participate in hiring and team expansion efforts
  • Communicate model performance and tradeoffs to technical and non-technical stakeholders
  • Optionally contribute directly to ML research and engineering work as an IC when needed
  • Ensure strong collaboration across research, engineering, and product teams

What We Are Looking For

  • Experience conducting machine learning research and shipping models
  • Experience collaborating closely with other researchers (peer, lead, or mentor level)
  • Experience communicating research externally (papers, conferences, etc.)
  • Strong experience with Python and PyTorch
  • Ability to understand and guide complex ML systems and tradeoffs
  • Strong leadership, communication, and organizational skills
  • Ability to align technical work with business priorities

Nice to Have

  • Prior experience managing ML researchers or ML engineering teams
  • Experience working with audio models or speech systems (ASR, TTS, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience in fast-paced startup environments

Benefits

  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with 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 Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

  • Salary: $170k-210K
  • Equity: Offered
  • Other perks: HSA, FSA, 15 holidays, professional development resources

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as San Francisco, Seattle, Boston, 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 beyond—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 people—and we're building technology that does the same.

Ready to join us? Apply here or reach out directly—we're excited to meet you.

A quick note as you apply

  • Please apply through the website rather than emailing careers@modulate.ai
  • For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations
  • Avoid including protected demographic information
  • Keep responses authentic and in your own voice