Head of Machine Learning Research & Intelligence
We’re hiring on behalf of A1, a high‑talent team building the next generation of AI‑native productivity applications. Their mission is to replace repetitive digital work with AI that can reliably complete real tasks for everyday users.
Rather than building another chatbot, A1 is creating long‑running AI workflows that manage conversations, coordinate actions, maintain context, and interact with external services — all with minimal user input. The product is designed for reliability, persistent context, and real‑world task completion, helping users save up to 90% of their time on everyday digital work.
Role
As Head of Machine Learning Research & Intelligence, you will own the research and intelligence direction of the system. This is a hands‑on, high‑impact role focused on defining how AI reasons, evaluates, and improves in a product used daily at scale.
What You’ll Do
Set and evolve the research direction for A1’s 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.
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.
Requirements
Deep experience building or evolving machine learning systems in production.
Strong technical judgment around model behavior, failure modes, and long‑horizon trade‑offs.
Builder’s mindset — focus on systems that work in the real world, not just ideas.
Comfort making irreversible or high‑impact decisions with incomplete information.
Obsession with evaluation, correctness, and long‑term system behavior.
High ownership mentality — operate as a founder, not a manager.
This role is not a fit for those primarily focused on publishing, incremental benchmarks, or managing large research organizations.
Tech Stack
Python
PyTorch / JAX
GPU‑based training and inference systems
How They Work
A1 believes the best products are built by small, world‑class teams. They move fast, make decisions collectively, and balance shipping high‑quality work with rapid learning. Joining requires the ability to bring structure, exercise judgment, and execute independently. The goal is to deliver a truly magical product into the hands of millions.
Interview Process
If there’s a fit, expect 3–4 interviews with technical team members, conducted virtually or onsite. The process is transparent and efficient, with prompt decisions. Successful candidates will receive not just a job offer, but an invitation to join a team bringing practical AI benefits to billions globally.