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Remote Embedded Machine Learning Jobs in Massachusetts

Senior Embedded Software Engineer

Boston, MA · On-site +1

$149K - $198K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... 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 ...

Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop, integrate, and deploy advanced perception systems, including for autonomous vehicles and robots able to ...

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 ...

Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop, integrate, and deploy advanced perception systems, including for autonomous vehicles and robots able 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 ...

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Massachusetts? The most popular types of Embedded Machine Learning jobs in Massachusetts are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Massachusetts? For Remote Embedded Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Massachusetts look for? The top searched job categories for Remote Embedded Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Embedded Machine Learning jobs? Cities in Massachusetts with the most Remote Embedded 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 7 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