Applied AI Research Engineer
Hybrid (New York, NY / San Francisco, CA / Remote (US))$140k - $200k + equityFull-timePosted 3mo ago
About the role
Beam is an ultrafast AI inference platform building a serverless runtime for GPU-backed containers. The role focuses on inference research to reduce cost per token and latency on customer workloads, with hands-on optimization and direct customer interaction.
Responsibilities
- Low-level inference optimization, from speculative decoding, quantization, KV-cache and memory management
- Work directly with customers to optimize their production workloads, and apply your learnings to our platform as product improvements
- High-level of autonomy to find the highest upside bets and guide the future of our inference platform based on your work
Qualifications
- Systems or research background in LLM inference
- Deep understanding of LLM serving, from the kernel to the scheduler
- History of shipping products or research that people use in production-like scenarios, whether academic or industry
- Excited to collaborate closely with customers
- Enthusiasm for developer tools, cloud native technologies, and open source software
Skills
Required:LLM inferenceLLM serving from kernel to schedulerCustomer-facing collaboration
Benefits
- Competitive salary and meaningful equity
- Join a fast-growing pre-series A company at the ground floor
- Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
- Opportunities to participate in events across the cloud native community
- Fitness stipend, learning budget, and much, much more
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Beam
AI-Native Cloud Platform
Beam is cloud platform for AI inference, sandboxes, and agents.
artificial-intelligencedeveloper-toolsopen-sourcecloud-computing
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