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Part Time Machine Learning Postdoc Jobs in Massachusetts

TripleTen

You can join us on a part-time basis , contributing as an instructor leading live sessions and ... Strong expertise in Software Engineering, AI Engineering, Machine Learning, or Data Science

Verge Therapy

Pediatric Neuropsychologist

Woburn, MA · On-site

$125 - $135/hr

Job Type Part-time Description Verge Therapy Pediatric Neuropsychologist About Verge Therapy: Verge ... Completion of a two-year postdoctoral fellowship in Clinical Neuropsychology. * Current ...

Verge Therapy

Pediatric Neuropsychologist

Woburn, MA · On-site

$125 - $135/hr

This is a part-time, salaried position that includes opportunities for bonuses . As a Pediatric ... Completion of a two-year postdoctoral fellowship in Clinical Neuropsychology. * Current ...

Lineage Logistics

Custodian Part time

Sharon, MA · On-site

$20/hr

Work with other machinery and material handling equipment MINIMUM REQUIREMENTS (KNOWLEDGE, SKILLS ... A career at Lineage starts with learning about our business and how each team member plays a part ...

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All JobsMachine Learning Postdoc JobsPart Time Machine Learning Postdoc JobsPart Time Machine Learning Postdoc Jobs in Massachusetts

Part Time Machine Learning Postdoc information

What is a part time machine learning postdoc?

A Part Time Machine Learning Postdoc is a researcher who holds a postdoctoral position in the field of machine learning, but works fewer hours than a standard full-time appointment. These roles typically involve conducting advanced research, publishing papers, and contributing to academic or industry projects while allowing for flexibility in work hours. Such positions are ideal for those who may have other commitments, such as teaching, consulting, or personal responsibilities, and still want to further their research careers. The expectations and benefits may differ from full-time roles, but they offer valuable experience and networking opportunities in the rapidly evolving field of machine learning.

What are the key skills and qualifications needed to thrive as a part time machine learning postdoc?

To thrive as a Part Time Machine Learning Postdoc, you need a Ph.D. in a relevant field, strong research experience, and deep understanding of machine learning algorithms and statistical methods. Proficiency with programming languages like Python, ML frameworks (e.g., TensorFlow, PyTorch), and experience with data analysis tools is crucial. Excellent problem-solving, effective communication, and time management skills help you balance research demands and collaboration. These skills ensure impactful contributions to research projects, efficient workflow, and successful dissemination of findings.

How does working part-time as a machine learning postdoc typically impact collaboration with research teams and project timelines?

Part-time Machine Learning Postdocs often collaborate closely with both faculty and full-time researchers, which requires clear communication and proactive scheduling to ensure smooth progress on shared projects. Balancing part-time hours may mean prioritizing specific tasks and being especially organized to keep projects on track. Many teams accommodate flexible work arrangements, but it's crucial to set expectations around availability and deliverables. Regular check-ins and use of collaborative tools can help maintain strong connections with the team and ensure that research milestones are met.

What is the difference between Part Time Machine Learning Postdoc vs Part Time Data Scientist?

AspectPart Time Machine Learning PostdocPart Time Data Scientist
Required CredentialsPhD in Machine Learning, Computer Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often prefers experience
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, corporate analytics teams
Employer & Industry UsageUniversities, research institutions, government agenciesTech firms, finance, healthcare, retail sectors
Common Search & Comparison IntentUnderstanding academic research roles in machine learningApplying machine learning techniques in industry projects

While both roles involve machine learning expertise, a Part Time Machine Learning Postdoc typically focuses on academic research, publishing papers, and advancing theoretical knowledge. In contrast, a Part Time Data Scientist applies machine learning models to solve practical industry problems, often working directly with business data and stakeholders.

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

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

What are popular job titles related to Part Time Machine Learning Postdoc jobs in Massachusetts?

For Part Time Machine Learning Postdoc jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Part Time Machine Learning Postdoc jobs in Massachusetts look for?

The top searched job categories for Part Time Machine Learning Postdoc jobs in Massachusetts are:

Part Time Machine Learning Postdoc jobs near you
Infographic showing various Part Time Machine Learning Postdoc 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.

AI-Assisted Programming Teaching Experts

On-site, Remote

TripleTen
See more jobs at TripleTenexternal

Part-time

Re-posted 10 days ago

Job description

Description
Nebius Academy is an educational platform that helps experienced software developers stay at the forefront of technological innovation. We create specialized courses that teach professionals how to effectively use AI tools in real-world development workflows (AI Assited Programming).
Our programs are designed to help engineers critically and productively apply artificial intelligence in their professional work, improving code quality, development speed, and overall work efficiency.
Our mission is to provide engineers with access to cutting-edge knowledge in AI-assisted development and help them become leaders in the new era of programming.
Who are we looking for?
We are building a talent pool of experienced developers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted programming educational program.
We are looking for specialists across the following languages and platforms: Golang, Kotlin, Swift, C++, Mobile Development (Android / iOS), and other languages.
A strong candidate doesn't just know their language deeply - they actively use AI-assisted development tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, Claude Code, GitHub Copilot, or similar AI coding assistants. The ability to teach others how to integrate these tools effectively into real development work is what sets our instructors apart.
These are Talent Pool positions - we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.
You can join us on a part-time basis, contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development.
Apply now - we review applications on an ongoing basis. Our selection process is fully asynchronous and designed to respect your time:
  1. Application Review - we evaluate your profile against our current needs
  2. Async Video Interview - a short self-recorded interview (10-15 minutes max)
  3. Test Assignment - approximately 1 hour to complete
  4. Talent Pool - finalists are added to our active roster of vetted experts
  5. Hiring Manager & Tech Expert Call - once a relevant position opens, we invite you to a live interview with our team
  6. Offer - We extend offer to you for a relevant position, upon the recruitment process is successfull

Please submit your resume in English.
What you will do
Available Roles
We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted programming educational programs. We hire on an ongoing basis across the following specializations:
Most in demand: Golang, Kotlin, Swift, C++, Mobile Development (Android / iOS) Also relevant: other languages and technical domains
Depending on your expertise, you may:
  • Deliver live workshops and training sessions
  • Create educational content, assessments, and project-based learning materials
  • Design practical exercises, guides, prompts, and reference resources
  • Help define curriculum structure, learning objectives, and competency frameworks
  • Review content for technical accuracy and industry relevance
  • Share insights on AI tools, workflows, and emerging trends
  • Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
  • Support program updates based on learner feedback and market needs

Areas of involvement
  • Instructor - leads live sessions, workshops, and learner interactions.
  • Author - creates course content, lessons, assessments, and projects.
  • Subject Matter Expert - shapes curriculum strategy, competency frameworks, and program direction.

All roles are part-time: 10-15 hours per week.
Requirements
  • 5+ years of experience in software engineering or a related technical field
  • Strong proficiency in one or more of the following: Golang, Kotlin, Swift, C++, Android, iOS
  • Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar
  • Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex technical concepts clear, practical, and engaging for learners
  • Ability to work independently with strong ownership and minimal supervision
  • Availability to collaborate within European time zones
  • Ability to dedicate approximately 10-15 hours per week
  • Fluent English (written and spoken); Russian or Spanish is a strong plus
  • Background in developer advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have
  • Strong expertise in Software Engineering, AI Engineering, Machine Learning, or Data Science
  • Ability to evaluate real-world AI/LLM applications, architectures, and workflows
  • Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
  • Ability to review technical learning content and provide structured feedback

What we can offer you
  • The opportunity to teach while maintaining your primary job: Share your expertise without leaving your current role.
  • Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
  • Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement.
  • Cross-cultural experience: Become part of an international team and connect with professional developers from diverse backgrounds.
  • Meaningful impact: Share your knowledge and help experienced engineers advance their skills in AI-assisted development.
  • Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption.
  • Professional growth: Receive feedback and develop your skills as a technical educator and thought leader.

Apply