Systems · Remote · US · Machine Learning Engineering –12d ago

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA

Listing for: Aimlroles

Remote/Work from Home position
Listed on 2026-10-08

Job specializations:

IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), AI Business & Operations, AI Evaluation

Salary/Wage Range or Industry Benchmark: 225000 USD Yearly USD 225000.00 YEAR

Position: Next Step Systems · Remote · US · Machine Learning Engineering $225,000–$275,000 12d ago

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.

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

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.