Model API Engineer - High-Performance Inference

Baseten

New York (NY)

On-site

USD 180,000 - 360,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation including equity
100% medical, dental, and vision insurance
Generous PTO including Winter Break
Paid parental leave
Company-facilitated 401(k)

Job summary

A leading AI platform provider in New York seeks a Model API Engineer focused on infrastructure for hosted AI models. Responsibilities include optimizing performance, building benchmarking frameworks, and collaborating on robust model serving solutions. Ideal candidates have 3+ years in distributed systems and a strong background in backend services. With a competitive compensation range of $180K - $360K and a comprehensive benefits package, this role offers a unique opportunity to shape the future of AI within a diverse and inclusive team.

Qualifications

  • 3+ years experience in building and operating distributed systems or large-scale APIs.
  • Proven track record with low-latency, reliable backend services.
  • Comfortable debugging complex systems, with strong written communication skills.

Responsibilities

  • Design and operate the Model APIs surface with advanced inference capabilities.
  • Profile and optimize TensorRT-LLM kernels for performance.
  • Build benchmarking frameworks to measure real-world performance.

Skills

Distributed systems
Low-latency backend services
Performance profiling
Debugging complex systems
Strong written communication

Tools

Kubernetes
API gateways

Job description

A leading AI platform provider in New York seeks a Model API Engineer focused on infrastructure for hosted AI models. Responsibilities include optimizing performance, building benchmarking frameworks, and collaborating on robust model serving solutions. Ideal candidates have 3+ years in distributed systems and a strong background in backend services. With a competitive compensation range of $180K - $360K and a comprehensive benefits package, this role offers a unique opportunity to shape the future of AI within a diverse and inclusive team.
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