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Weekend Machine Learning Postdoc Jobs (NOW HIRING)

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site

$110K - $150K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

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Weekend Machine Learning Postdoc information

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

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

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

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
More about Weekend Machine Learning Postdoc jobs
What cities are hiring for Weekend Machine Learning Postdoc jobs? Cities with the most Weekend Machine Learning Postdoc job openings:
What are the most commonly searched types of Machine Learning Postdoc jobs? The most popular types of Machine Learning Postdoc jobs are:
What states have the most Weekend Machine Learning Postdoc jobs? States with the most job openings for Weekend Machine Learning Postdoc jobs include:
What job categories do people searching Weekend Machine Learning Postdoc jobs look for? The top searched job categories for Weekend Machine Learning Postdoc jobs are:
Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in the United States as of June 2026, with employment types broken down into 92% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Machine Learning Scientist (Financial Scoring)

Machine Learning Scientist (Financial Scoring)

Lendbuzz

Boston, MA • On-site

Full-time

Posted 25 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 strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.

 
Responsibilities

  • Build machine learning and deep learning models based on financial and other modalities like images and 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

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.