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Postdoctoral Machine Learning Jobs in Massachusetts

Myana

Postdoctoral Scientist - RWE Neurology

Cambridge, MA · On-site

$79 - $128/hr

The postdoctoral scientist will work at the intersection of real-world data, historical clinical ... Develop and apply statistical and machine learning methods to support patient subtyping, disease ...

MIT Human Resources

Postdoctoral Associate

Cambridge, MA · On-site +1

POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang ... Will develop and implement machine learning models for local weather forecasting and uncertainty ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

... postdoctoral researchers to join as soon as possible. The research focus is on developing and ... Coding and/or machine learning experience Key Responsibilities & Accountabilities * Conduct ...

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Postdoctoral Machine Learning information

What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

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

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

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

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

What cities in Massachusetts are hiring for Postdoctoral Machine Learning jobs?

Cities in Massachusetts with the most Postdoctoral Machine Learning job openings:

Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Scientist (Financial Scoring)

Lendbuzz

Boston, MA • On-site

$170K - $200K/yr

Full-time

Re-posted 29 days ago

Job description

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we've built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a deep understanding of machine learning and statistics and a strong background in data analysis, software development, and communication skills.
Responsibilities
  • Build machine learning and deep learning models based on financial and other modalities like text
  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
  • Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
  • Design and develop robust, scalable pipelines and services using software engineering best practices
  • Implement end-to-end solutions, including architecture design, business logic, and deployment
  • Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
  • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements
  • Ph.D in Computer Science, Statistics, Mathematics or a related field
  • 2+ years of relevant industry or postdoc experience
  • Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
  • Deep understanding of machine learning models and algorithms
  • Deep understanding of probability and statistics
  • Strong data analysis skills and experience working with messy real world data
  • Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn
  • Excellent communication skills

A Vibrant Office Culture & Perks
We love collaborating in person, and we make sure our Boston office is a place you actually look forward to coming to every day. At Lendbuzz, we believe in building an energetic, supportive environment that makes your day-to-day workplace experience both rewarding and fun:
Complimentary Lunches: Forget meal prepping! Enjoy delicious, catered lunches on us every Tuesday and Thursday.
Sweet Happy Hours: Take a well-deserved break with the team at our fun happy hours, featuring sweet treats, great conversations, and a fantastic opportunity to unwind and connect.
Smarter Commuting (TMA Benefit): Save money on your daily trek. We offer TMA benefits, allowing you to allocate pre-tax dollars toward your travel and transit expenses to make your commute to the city a breeze.
$170,000 - $200,000 a year
We believe:
Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
Compassion is a strength. We care about our customers and look to build long-term relationships with them.
Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!
Background Checks
After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant's or employee's specific record and the responsibilities and requirements of the particular role.
A Note on Recruiting Outreach
We've been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

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