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Remote Edge Ai Machine Learning Jobs in California

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Remote Edge Ai Machine Learning information

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

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Remote Edge Ai Machine Learning jobs near you
Infographic showing various Remote Edge Ai Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

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

Next Step Systems

San Francisco, CA • On-site, Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Job description

Company 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.

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