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About the role
Key responsibilities & impact- 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 – 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
- 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
What you’ll need- 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 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.
Benefits
Comp & perks- Health insurance
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningmodel architecturesevaluation frameworksretrieval-augmented trainingmixture-of-expertsdistillationmulti-agent orchestrationmultimodal systems
Soft Skills
technical judgmentbuilder's mindsetdecision-makingevaluation obsessionhigh ownership mentality
