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Vice President Machine Learning R Jobs in Berkeley, CA

VP, Robot Learning

San Francisco, CA · On-site

$250 - $450/hr

VP, Robot Learning Location: San Francisco Bay Area Employment Type: Full-Time Level: Executive ... PhD or equivalent depth in robotics, computer science, machine learning, or a closely related ...

VP Robotics

Menlo Park, CA · On-site

$486K/yr

You will lead an organization spanning hardware engineering, embodied AI and machine learning ... Experience as VP or C-level of an engineering organization at a company operating at scale

New

VP, Data Platforms

San Francisco, CA · On-site

$240 - $270/hr

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure ... Enable AI and machine learning teams through robust data, platform, and governance capabilities ...

VP of Product

San Francisco, CA · On-site

$250 - $350/hr

About Our Team We come from a variety of backgrounds ranging from machine learning to marketing ... As the VP of Product , you will play a key role in taking our cutting‑edge technology and turning ...

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure ... Enable AI and machine learning teams through robust data, platform, and governance capabilities ...

... VP, Modeling & Data Science. This pivotal role will shape the next generation of modeling ... Collaborate with Technology to evolve our machine learning platform for scalable experimentation ...

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Showing results 1-20

Vice President Machine Learning R information

See Berkeley, CA salary details

$79K

$207.6K

$318.4K

How much do vice president machine learning r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vice president machine learning r in Berkeley, CA is $207,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,100.00 and $243,100.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Machine Learning R jobs in Berkeley, CA?

The most popular types of Machine Learning R jobs in Berkeley, CA are:

Infographic showing various Vice President Machine Learning R job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $207,588 per year, or $99.8 per hour.

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

Job Description

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency.  This position is 100% Remote.

VP of Research, Machine Learning (ML) Responsibilities:

- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.

- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.

- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.

- Own alignment, safety, and guardrail strategy as first-class product concerns.

- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

- Shape early product intelligence direction in close partnership with product and application engineering.

- Set the technical bar for research rigor, judgment, and taste across the organization.

Qualifications

VP of Research, Machine Learning (ML) Qualifications:

- Deep experience building or evolving real Machine Learning (ML) systems used in production.

- Artificial Intelligence (AI) experience required.

- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.

- A builder’s mindset, you care about systems that work in the real world, not just ideas.

- Comfortable making irreversible or high-impact decisions with incomplete information.

- Obsession with evaluation, correctness, and how systems behave over time.

- High ownership mentality; you operate as a founder, not a manager.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Research, Machine Learning (ML) in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.nextstepsystems.com.