Jobs · Himalayas

VP of Research, Machine Learning (ML), Artificial Intelligence (AI)
Next Step Systems · United States · Posted 15d ago
About the role
The VP of Research for Machine Learning will define the research direction for AI systems, focusing on practical applications and evaluation frameworks. This role requires deep experience in building ML systems and a strong technical judgment. The position is fully remote.
Full job description (as posted) ↓
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. 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! Please check out all of our jobs at www.nextstepsystems.com. Originally posted on Himalayas
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FAQ
Is the VP of Research, Machine Learning (ML), Artificial Intelligence (AI) role at Next Step Systems remote?+
This VP of Research, Machine Learning (ML), Artificial Intelligence (AI) position is listed as remote (United States).
What is the salary for the VP of Research, Machine Learning (ML), Artificial Intelligence (AI) role at Next Step Systems?+
The listing states USD 225000-275000/annual.
What seniority level is this VP of Research, Machine Learning (ML), Artificial Intelligence (AI) role?+
This is a head level position.
How do I apply for the VP of Research, Machine Learning (ML), Artificial Intelligence (AI) role at Next Step Systems?+
Use the "Apply on Himalayas" button to open the original posting on Himalayas, where you can submit your application directly to Next Step Systems.