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Weekend Machine Learning Postdoc Jobs in California

LLNL

AI/ML Postdoctoral Researcher

Livermore, CA · On-site

$123K/yr

We are seeking an AI/ML Postdoctoral Researcher within our Laser Science and Systems Engineering ... Conduct research and development of an inverse pulse solve machine learning system by training ...

LLNL

AI/ML Postdoctoral Researcher

Livermore, CA

$123K/yr

We are seeking an AI/ML Postdoctoral Researcher within our Laser Science and Systems Engineering ... Conduct research and development of an inverse pulse solve machine learning system by training ...

LLNL

AI/ML Postdoctoral Researcher

Livermore, CA · On-site

$123K/yr

We are seeking an AI/ML Postdoctoral Researcher within our Laser Science and Systems Engineering ... Conduct research and development of an inverse pulse solve machine learning system by training ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K/yr

Experience holding an industry, postdoctoral, faculty, or government researcher position * Research background in machine learning, artificial intelligence, computational statistics, applied ...

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All JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in California

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.
What are the most commonly searched types of Machine Learning Postdoc jobs in California? The most popular types of Machine Learning Postdoc jobs in California are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in California? For Weekend Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in California look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in California are:
What cities in California are hiring for Weekend Machine Learning Postdoc jobs? Cities in California with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you
Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Toyota Research Institute

Los Altos, CA • On-site

$152K - $218K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Mission

Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

The Team

In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

The Opportunity

We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

Responsibilities
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Qualifications
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
  • Experience in real-time or resource-constrained ML systems.
  • Experience with GPU acceleration, profiling, or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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