ZipRecruiter

Log In

1

Machine Learning Teaching Assistant Jobs in Roxbury, MA

previous page

Showing results 41-60

All JobsMachine Learning Teaching JobsMachine Learning Teaching Assistant JobsMachine Learning Teaching Assistant Jobs in Roxbury, MA

Machine Learning Teaching Assistant information

See Roxbury, MA salary details

$14

$19

$25

How much do machine learning teaching assistant jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for machine learning teaching assistant in Roxbury, MA is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $20.87 per hour, depending on experience, location, and employer.

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 popular job titles related to Machine Learning Teaching Assistant jobs in Roxbury, MA?

For Machine Learning Teaching Assistant jobs in Roxbury, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Assistant jobs in Roxbury, MA look for?

The top searched job categories for Machine Learning Teaching Assistant jobs in Roxbury, MA are:

What cities near Roxbury, MA are hiring for Machine Learning Teaching Assistant jobs?

Cities near Roxbury, MA 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 Roxbury, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,751 per year, or $19.6 per hour.

Senior Staff Machine Learning Engineer - Perception

Zoox

Boston, MA

$277K - $389K/yr

Full-time

Medical, Life, PTO

Re-posted 18 days ago

Job description

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
 
As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.
Responsibilities
  • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time
  • Build multi-modal foundation models for on-vehicle and offline applications
  • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems
  • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • Provide technical mentorship to the broader group of ML developers at Zoox
  • Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
  • BS, MS, or PhD degree in computer science or related field
  • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Experience with modern computer vision techniques
  • Strong mathematical skills and understanding of probabilistic techniques
  • Fluency in C++ or Fluency in Python with a basic understanding of C++
  • Extensive experience with programming and algorithm design-Strong mathematics skills
Bonus Qualifications
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
  • Experience with autonomous robots
  • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
  • Experience with novel pipelines and architectures for convolutional neural nets 
  • Experience with 3D data and representations (pointclouds, meshes, etc.)
$277,000 - $389,000 a year
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply