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Weekday Machine Learning Research Scientist Jobs in Berkeley, CA

Perdurable AI

AI Research Scientist

San Francisco, CA · On-site

$120 - $160/hr

PhD or MS in Computer Science, Machine Learning, or related field * 3+ years of experience in deep learning and computer vision research * Strong programming skills in Python and experience with ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Meta

Research Manager

Burlingame, CA · On-site

$219K - $301K/yr

D. in machine learning, AI, computer science, electrical engineering, statistics, applied ... in industry R&D in signal processing, sensor development, or related technical fields • ...

Cursor

Research Scientist

San Francisco, CA · On-site

$100 - $130/hr

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... You have a deep background in RL and strong machine learning fundamentals * You're an excellent ...

David AI

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge ... About this role As a Research Scientist at David AI you'll build cutting-edge speech and audio ...

Anysphere

Research Scientist

San Francisco, CA · On-site

Anysphere is focused on automating coding and is seeking Research Scientists to drive effective RL ... Required : • You have a deep background in RL and strong machine learning fundamentals • You're ...

Lead Allies Inc.

Research Scientist

San Francisco, CA · On-site

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how ...

Meta

Research Manager

Burlingame, CA

$219K/yr

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing ... D. in machine learning, AI, computer science, electrical engineering, statistics, applied ...

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All JobsWeekday Machine Learning Research Scientist JobsWeekday Machine Learning Research Scientist Jobs in Berkeley, CA

Weekday Machine Learning Research Scientist information

See Berkeley, CA salary details

$61.8K

$159.3K

$213.1K

How much do weekday machine learning research scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekday machine learning research scientist in Berkeley, CA is $159,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $211,800.00 per year, depending on experience, location, and employer.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What are the key skills and qualifications needed to thrive as a Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

What cities near Berkeley, CA are hiring for Weekday Machine Learning Research Scientist jobs?

Cities near Berkeley, CA with the most Weekday Machine Learning Research Scientist job openings:

Weekday Machine Learning Research Scientist jobs near you

AI Research Scientist

Perdurable AI

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 4 days ago

Job description

Join our team to develop cutting-edge gesture recognition AI models and algorithms.

We're looking for an AI Research Scientist to join our team working on bleeding-edge gesture recognition technology. You'll be responsible for developing and improving our core AI models, collaborating with cross-functional teams, and staying at the forefront of AI research.

Responsibilities
  • Develop and implement novel deep learning techniques for gesture recognition
  • Design and conduct experiments to validate AI models and improve performance
  • Collaborate with engineering teams to integrate research into production systems
  • Stay current with state-of-the-art research in computer vision and human-computer interaction
  • Publish research findings in top-tier conferences and journals
Requirements
  • PhD or MS in Computer Science, Machine Learning, or related field
  • 3+ years of experience in deep learning and computer vision research
  • Strong programming skills in Python and experience with PyTorch or TensorFlow
  • Publication record in relevant conferences (CVPR, NeurIPS, ICCV, etc.)
  • Experience with gesture or pose recognition systems is a plus
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