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Machine Learning Teaching Jobs in Massachusetts (NOW HIRING)

Myana

Research Fellow - Deep Learning

Boston, MA · On-site

As a not-for-profit, we support patient care, research, teaching, and community service, striving ... Job Summary We have an open position for a computer science/machine-learning postdoctoral fellow to ...

Varsity Tutors

Data Science Tutor

Lynn, MA · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Waltham, MA · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

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Machine Learning Teaching information

What is machine learning teaching?

A Machine Learning Teaching job involves educating students or professionals about machine learning concepts, algorithms, and applications. Responsibilities may include designing curricula, delivering lectures, conducting hands-on coding sessions, and mentoring learners. These roles exist in universities, online education platforms, and corporate training programs. Strong knowledge of machine learning frameworks, programming (e.g., Python, TensorFlow, PyTorch), and effective teaching skills are essential for success.

What are the typical responsibilities of machine learning teaching?

Machine Learning Teaching professionals are responsible for designing and delivering lessons on core machine learning principles, guiding students through practical projects, and assessing their progress. They may create course materials, conduct lectures and labs, and offer mentorship to students on capstone or research projects. Collaboration with other faculty or industry experts is common for curriculum updates and staying current with advancements in the field. Additionally, they often provide feedback, support diverse learners, and help students connect theory with real-world applications, ensuring a comprehensive educational experience.

What are the key skills and qualifications needed to thrive in machine learning teaching?

To thrive in a Machine Learning Teaching role, you need in-depth knowledge of machine learning concepts, proficiency with programming languages like Python or R, and an advanced degree in computer science or a related field. Experience with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and familiarity with curriculum development and teaching technologies are typically required. Strong communication, patience, and the ability to clearly explain complex topics make educators especially effective. These skills ensure students gain practical expertise and solid theoretical foundations, preparing them for real-world machine learning careers.

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 are popular job titles related to Machine Learning Teaching jobs in Massachusetts?

For Machine Learning Teaching jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching jobs in Massachusetts look for?

The top searched job categories for Machine Learning Teaching jobs in Massachusetts are:

Machine Learning Teaching jobs near you
Infographic showing various Machine Learning Teaching job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Assistant Teaching Professor

Worcester, MA • On-site

Worcester Polytechnic Institute
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about Worcester Polytechnic Instituteexternal

Full-time

Retirement

Re-posted 7 days ago

Job description

JOB TITLE
Assistant Teaching Professor
LOCATION
Worcester
DEPARTMENT NAME
Civil, Environmental, & Architectural Engineering
DIVISION NAME
Worcester Polytechnic Institute - WPI
JOB DESCRIPTION SUMMARY
The Department of Civil, Environmental, and Architectural Engineering (CEAE) at Worcester Polytechnic Institute (WPI) invites applications for a full-time Assistant Teaching Professor in intelligent construction and infrastructure systems with a broad focus on sensing, automation, and computational technologies that are reshaping how civil infrastructure is built, monitored, managed.
The scope of interest spans the full asset lifecycle: robotics and automation on the construction site, uncrewed aerial systems and reality capture, instrumented and self-sensing structures, digital twins, and data-driven approaches to inspection, condition assessment, and asset management. Construction faces persistent labor shortages and schedule/cost pressure, while existing infrastructure stock ages and decarbonization pressures become more urgent. WPI seeks an educator who can prepare civil, architectural, and construction engineering students to work fluently with the technologies now being deployed against those problems and who will build a distinctive, hands-on curriculum and laboratory experience around them.
This is a career-track teaching appointment with a clear path for promotion to Associate Teaching Professor and Teaching Professor. Teaching faculty at WPI are full voting members of the faculty and play a central role in curricular leadership.
JOB DESCRIPTION
Responsibilities:
  • Teach undergraduate and graduate courses in areas such as construction automation and robotics; UAS and reality capture; sensing, instrumentation, and structural health monitoring; digital twins and BIM-integrated workflows; applied machine learning and computer vision for the built environment; and data-driven infrastructure asset management, scheduling, cost, productivity, and safety analytics.
  • Develop new courses and laboratory modules that give students direct experience with robotic platforms, drones, sensing hardware, field data collection, and modern computational tools.
  • Advise and mentor students in WPI's project-based curriculum, including Major Qualifying Projects (MQP), Interactive Qualifying Projects (IQP), and graduate capstone work.
  • Contribute to the design and stewardship of laboratory, maker, and field-testing facilities supporting instrumented and automated construction and infrastructure work.
  • Build and maintain relationships with contractors, owners, infrastructure agencies, and technology firms so that instruction reflects current and emerging practice.
  • Participate in departmental service, student recruiting and retention, curriculum assessment and ABET accreditation activities, and outreach.

Required Qualifications:
  • An earned doctorate by the appointment start date in civil, architectural, construction, mechanical, or robotics engineering; computer science; or a closely related field.
  • Demonstrated technical depth in at least two of the following, with the ability to teach in both: construction robotics and automation; UAS/drone operations and reality capture; sensing, instrumentation, and structural health monitoring; digital twins and BIM-integrated workflows; applied machine learning or computer vision for the built environment; data-driven infrastructure asset management and condition assessment.
  • Clear anchoring in civil, architectural, or construction engineering practice. The successful candidate will be able to connect computational and robotic methods to real construction operations, structural behavior, or infrastructure management, not to treat the built environment solely as an application domain.
  • Evidence of, or clear potential for, excellence in undergraduate and graduate teaching.
  • Commitment to hands-on, project-based, and experiential instruction.

Preferred Qualifications:
  • Prior university-level teaching experience, including course and laboratory development.
  • Professional experience in the construction industry, with an infrastructure owner or agency, or in a construction technology firm.
  • Experience deploying robotic, sensing, or autonomous systems in field conditions
  • Working fluency with relevant tooling: Python and modern ML frameworks, ROS, photogrammetry and LiDAR processing, sensor networks and data acquisition, BIM and computational design platforms, or construction and asset management software.
  • Experience building industry partnerships, sponsored student projects, or continuing education and workforce development programs.
  • A record of mentoring students from a range of backgrounds and preparing them to work on diverse teams.

About the Department and WPI
WPI is a global leader in project-based learning. Its distinctive undergraduate curriculum requires every student to complete substantial team-based projects addressing real problems for real stakeholders, often at one of WPI's project centers around the world. Courses are delivered in an intensive seven-week term structure that supports focused, immersive instruction.
CEAE offers ABET-accredited undergraduate programs and graduate degrees spanning civil engineering, construction project management, environmental engineering, and architectural engineering. The department is investing in the technologies that will define the next generation of infrastructure practice, and this position is central to that direction. The successful candidate will also find natural collaborators across WPI in robotics engineering, data science, electrical and computer engineering, and computer science.
Worcester, Massachusetts is New England's second-largest city, with a growing innovation economy, a substantial construction and real estate development sector, and easy access to Boston, Providence, and Hartford.
How to Apply
Applications should be submitted through WPI's online application system and include:
  • A cover letter describing the candidate's interest in and fit for the position.
  • A curriculum vitae.
  • A statement of teaching philosophy and interests (2 pages maximum), including courses the candidate would be prepared to teach and one or two new courses or laboratory experiences they would propose to develop.
  • Names and contact information for three professional references. References will not be contacted without the candidate's permission.

Review of applications will begin Jan 1, 2027, and will continue until the position is filled. Inquiries may be directed to Prof. Nima Rahbar at nrahbar@wpi.edu .
Compensation
Salary: $80,000 - $85,000 per year. Salary is based on related experience, expertise, and internal equity. WPI's benefits package includes a robust retirement match, wellness perks, tuition assistance and more!
FLSA STATUS
United States of America (Exempt)
WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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