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Machine Learning Teaching Assistant Jobs in Massachusetts

Crowe LLP

Machine Learning Engineer

Boston, MA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

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Machine Learning Teaching Assistant information

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What are the most commonly searched types of Machine Learning Teaching jobs in Massachusetts?

The most popular types of Machine Learning Teaching jobs in Massachusetts are:

What cities in Massachusetts are hiring for Machine Learning Teaching Assistant jobs?

Cities in Massachusetts with the most Machine Learning Teaching Assistant job openings:

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Engineer, Voice Assistant

Boston, MA • On-site

Roku
Manufacturing • 1 - 5K employees
Learn more about Rokuexternal

$216K - $273K/yr

Full-time

Medical, Life, PTO

Re-posted 3 days ago

Job description

About the Team

The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms.


About the Role 

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team.

For Massachusetts Only - The estimated annual salary for this position is between $216,000 - $273,400 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off

How will I use AI at Roku? 

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. 
We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What You'll Be Doing
  • Design and develop software and algorithms for Roku's state-of-the-art entertainment assistant
  • Design and develop software components for high-availability and high-performance cloud solutions
  • End-to-end responsibility from developing a proof of concept to production
  • Have a strong programming background with a lot of hands-on experience in building large-scale production systems
  • Strong algorithmic background and like intellectual challenges and solving complex problems
  • Working across teams and pulling in the best talent from the organization to achieve your goals
  • Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
  • You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions 

We're Excited If You Have
  • 5+ years of industry experience (or advanced degree with 3+ years) applying ML/AI to NLU or related domain
  • Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
  • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
  • Hands-on experience in building challenging production systems
  • Strong CS fundamentals, with the ability to write algorithms with ease
  • Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
  • Experience with advanced machine learning techniques, including LLM and generative AI
  • Experience building in-production NLU and/or ASR systems
  • Bachelor's Degree preferred

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