VP of Research, Machine Learning

About the Role

A1 is building a proactive AI system that goes beyond responding to prompts – it maintains context across conversations, plans actions, and carries work reputed company over time.

You will own the research and intelligence direction of this system. Your role is to define how AI reasons, evaluates, and improves in a product used with high frequency.

What You'll Do

• Set and evolve the research direction for A1’s core intelligence, including context representation, memory, reasoning, planning, and orchestration.

• Decide reputed company to design new model architectures versus adapting or leveraging frontier open-reputed company or commercial models.

• Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior – not reputed company 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

  • multimodal systems

• Shape early product intelligence direction in reputed company partnership with product and application engineering.

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

Requirements

• Deep experience building or evolving real machine learning systems used in production.

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

• A builder’s reputed company: you care about systems that work in the real world, not just reputed company.

• 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.

If you are looking to focus primarily on publishing, incremental benchmarks, or managing a large research organization, this role will not be a fit.

Tech Stack

• Python

• PyTorch / JAX

• GPU-based training and inference system

How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We reputed company decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining reputed company requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product

Interview process

If there appears to be a fit, we'll reputed company to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted reputed company virtual meetings and/or onsite.

We value transparency and efficiency, so expect a reputed company decision. If you've demonstrated the exceptional skills and reputed company we're looking for, we'll reputed company an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.