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Weekend Machine Learning Postdoc Jobs in Santa Clara, CA

Scout AI

Senior AI Researcher

Sunnyvale, CA · On-site +1

$200K - $400K/yr

PhD in Computer Science, Robotics, Machine Learning, or a related field plus 4+ years of applied research experience (industry, postdoc, or lab), or 8+ years of equivalent industry research ...

23andMe

Scientist, Population Genetics

Palo Alto, CA · On-site

Research experience using machine-learning and statistical modeling techniques to analyze large ... Some postdoctoral or industry experience. * San Francisco Bay Area location, or willingness to ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · On-site +1

$107K - $146K/yr

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Available nights, weekends, and holidays as business needs require. Work Authorization: Applicants ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · Hybrid

$107K - $146K/yr

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Available nights, weekends, and holidays as business needs require. Work Authorization: Applicants ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · Hybrid

$107K - $146K/yr

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Available nights, weekends, and holidays as business needs require. Work Authorization: Applicants ...

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All JobsMachine Learning Postdoc JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in Santa Clara, CA

Weekend Machine Learning Postdoc information

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 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 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 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 most commonly searched types of Machine Learning Postdoc jobs in Santa Clara, CA?

The most popular types of Machine Learning Postdoc jobs in Santa Clara, CA are:

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Santa Clara, CA?

For Weekend Machine Learning Postdoc jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Weekend Machine Learning Postdoc jobs in Santa Clara, CA look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Weekend Machine Learning Postdoc jobs?

Cities near Santa Clara, CA with the most Weekend Machine Learning Postdoc job openings:

Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior AI Researcher

Scout AI

Sunnyvale, CA • On-site, Remote

$200K - $400K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
The RoleWe're hiring a Staff or Senior AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas including reinforcement learning, vision-language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury.
This role sits at the intersection of cutting-edge ML research, real-world robotics, and defense. You'll translate foundational research into scalable, robust models that operate in unstructured, contested environments, from concept to deployment. We're a startup. You'll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense.
Responsibilities
  • Conduct original research in embodied AI, including learning from warfighter demonstration, reinforcement learning, memory, reward, vision-language modeling, and world modeling
  • Build, test, and benchmark large-scale models for perception, decision-making, and control in simulated and physical environments
  • Investigate transfer learning and continual learning paradigms across diverse robotic domains
  • Collaborate with engineering, robotics, and field teams to integrate research into operational systems
  • Lead research strategy and roadmap across key areas of autonomy and machine learning
  • Support field tests and data collection campaigns to evaluate system performance in realistic environments

Qualifications
  • PhD in Computer Science, Robotics, Machine Learning, or a related field plus 4+ years of applied research experience (industry, postdoc, or lab), or 8+ years of equivalent industry research experience without a PhD
  • Strong publication record in top-tier venues
  • Deep expertise in one or more of the following: reinforcement learning, imitation learning, vision-language models, sim-to-real, world modeling, or agentic AI
  • Hands-on experience building and evaluating models for embodied agents or autonomous systems
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
  • Experience working with large-scale datasets and high-dimensional sensor inputs
  • Demonstrated ability to take ideas from research concept to deployed prototype
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • Passion about defense of the United States and its allies
  • May be expected to obtain and hold a U.S. Top Secret security clearance

Why Join Scout
  • Work on the world's most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
  • Be a core part of a team building the first defense-specific robotic foundation model
  • Collaborate with some of the top engineers in autonomy, AI, and national security
  • See your work deployed on real systems
  • Help define the future of intelligent defense systems
  • Backed by Draper Associates, Booz Allen Ventures, and other top investors

Benefits
  • Competitive compensation package including base salary and bonus
  • Meaningful equity
  • Premium medical, dental, and vision plans with $0 paycheck contribution
  • Competitive PTO and company holiday calendar
  • Catered lunch daily and fully stocked kitchen
  • EV charging
  • Relocation assistance (depending on role eligibility)

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.
US Salary Range
$200,000-$400,000 USD

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