Requirements
- 12–15+ years of experience in machine learning, AI systems, or applied AI research, including experience operating at a Principal, Distinguished, or equivalent technical level.
- Strong research and publication track record, including authored papers, major technical contributions, or active participation in frontier AI research.
- Experience publishing at top-tier conferences or contributing influential open-source, research, or AI infrastructure systems.
- Experience conducting large-scale experimentation requiring significant compute infrastructure, evaluation workflows, and iterative model/system analysis.
- Deep expertise in one or more areas including agentic systems, LLMs and generative AI, multi-agent systems, reasoning systems, reinforcement learning, orchestration infrastructure, AI systems reliability, NLP, multimodal systems, or deep learning.
- Hands-on experience with agent-based systems, prompt engineering, RAG, RLHF, SLMs, fine-tuning/post-training techniques, tool integration, memory systems, and human-in-the-loop orchestration.
- Proven experience building, deploying, and operating enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
- Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, observability, evaluation frameworks, regression testing, and failure modes.
- Strong systems thinking and demonstrated ability to partner cross-functionally with engineering and product organizations to move research into production systems.
- Strong programming and prototyping skills in Python and modern ML infrastructure stacks, with experience in Java or related systems languages preferred.
- Experience deploying AI/ML systems in regulated, constrained, or enterprise environments, and demonstrated ability to lead technical direction from research through production impact.
Nice to Have
- PhD in Computer Science, Machine Learning, AI, Systems, or a related field.
- Experience building and operating AI/ML platforms supporting the full model lifecycle, including training, evaluation, deployment, and monitoring.
- Experience optimizing ML inference or orchestration systems in real-time, distributed, or resource-constrained environments.
Additional Information
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Opportunities for professional development and continued learning.
- Optional 401K, FSA, and equity incentives available.
- Mental health benefits are available through Tara Mind.
