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Part Time Machine Learning Postdoc Jobs in Massachusetts

$53.60K - $72.70K/yr

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is ... machine learning models and algorithms. * Knowledge of cloud platforms (e.g., AWS, Google Cloud ...

Learning programs through our Academies. Ability to make a difference through our Corporate Social ... Calculator, PC, other office equipment, telephone, fax machine * Occasional long hours may be ...

Learning programs through our Academies. Ability to make a difference through our Corporate Social ... Calculator, PC, other office equipment, telephone, fax machine * Occasional long hours may be ...

Learning programs through our Academies. Ability to make a difference through our Corporate Social ... Calculator, PC, other office equipment, telephone, fax machine * Occasional long hours may be ...

... fax machines, computers, CCTV surveillance system, key cutter, panel saw, paint mixer, flooring ... Plus, we offer learning and development opportunities to help our associates grow their skills and ...

... fax machines, computers, CCTV surveillance system, key cutter, panel saw, paint mixer, flooring ... Plus, we offer learning and development opportunities to help our associates grow their skills and ...

Employment Type: Part-Time Available shifts: Opening, Morning Location Wal-Mart #2902 121 WORCESTER ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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Part Time Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Postdoc, and why are they important?

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 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 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:
Infographic showing various Part Time Machine Learning Postdoc job openings in Massachusetts as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

$53.60K - $72.70K/yr

Part-time

Posted 15 days ago


Job description

C10 Labs is an AI-focused venture studio dedicated to propelling the frontiers of artificial intelligence. Our venture studio model is extending the AI revolution beyond screens to build AI first ventures that will revolutionize healthcare, climate tech, mobility,  energy, and more. We are looking to add the best entrepreneurial and technical minds to our team to provide our proto-ventures with the resources they need to succeed: funds, go to market acceleration, mentorship, and engineering. Our team is passionately committed to building a more intelligent world, join us on our mission!
 
Position Overview:

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is more than a job - it's an opportunity to shape the future of AI, molding our portfolio companies into global leaders in the AI space. This role offers a hands-on opportunity to work on challenging projects, collaborate with experienced researchers and engineers, and contribute to the development of groundbreaking AI solutions. If you value working with the brightest minds in the world in areas like climate tech and health then come join us to shape the future of humanity!


  • Define and lead AI initiatives within our portfolio companies, working closely with founders and tech teams.
  • Oversee the application of AI technologies across multiple platforms and products.
  • Share knowledge and insights through regular presentations, workshops, and collaboration sessions with venture and portfolio teams.
  • Advise on best frameworks and tools for our portfolio companies to create solutions.
  • Advise our executive team on AI strategy, risks, opportunities, and investments.
  • Maintain a strong network in the global AI community, staying informed of the latest research and developments.
  • Product Development Experience:  full product development and bringing cutting edge AI products, platforms, and services to market 
  • Technical Development: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing machine learning models and algorithms.
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions at scale.
  • Familiarity with AI model optimization, including hyperparameter tuning, model evaluation, and performance benchmarking.
  • Major plus will be experience with assessing tech readiness in AI projects using commonly used frameworks like TRL, AI Maturity Models, Model Validation Frameworks, SAFE AI, IEEE, IRL. 
  • Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.
  • An exciting opportunity to shape the AI landscape and create industry-defining companies.
  • Collaborative, innovative, and intellectually stimulating work environment.
  • Exposure to real-world AI projects and applications.
  • A platform to leverage your AI expertise and make a global impact.
 
If you are passionate about AI, would love to work with an amazing team, ready to solve challenging problems, and eager to transform industries through innovative technologies, we want to hear from you. Apply now and join us on our mission to shape the future of AI.
 
C10 Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.