Senior Machine Learning Engineer, Inference

AIDA Recruitment; Mountain View (CA); Presencial; USD 250.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Visa support

Descripción de la vacante

AIDA Recruitment is seeking a Senior Machine Learning Engineer for inference to join a fast-growing AI company building real-time voice and LLM technology. You will own inference optimization end-to-end, taking models from research to production at consumer scale and addressing latency and throughput challenges for real-time AI products used by hundreds of millions.

The team focuses on production deployment of models with engines like vLLM and TRT-LLM, working with Kubernetes and multi-GPU

Formación

• 5+ years in ML inference or systems engineering at senior level.
• Experience with vLLM or TRT-LLM engine-level optimization.
• Proficient in C++, CUDA, Rust or optimized Python.
• Experience with Kubernetes, Ray, and multi-GPU/inference scaling.

Responsabilidades

• Own inference optimization end-to-end from research to production.
• Reduce latency and improve throughput for real-time AI workloads.
• Work inside inference engines to improve performance.
• Collaborate with research and product teams to deploy new models.

Conocimientos

ML inference

Systems programming

C++

CUDA

Rust

Python

Kubernetes

Ray

Distributed systems

English

Educación

PhD in CS/Physics/Math

Top CS program degree

Herramientas

vLLM

TRT-LLM

Descripción del empleo

Senior Machine Learning Engineer, Inference

Job Summary

For our client, a fast-growing AI company building realtime voice and LLM technology, we are looking for a Senior Machine Learning Engineer with strong expertise in ML inference optimization to join its inference team.

In this role, you will own inference optimization end-to-end – taking models from research to production at consumer scale and solving latency and throughput problems for realtime AI products used by hundreds of millions of people.

Our client is a well-funded, venture-backed AI research lab and realtime inference provider with a small, senior engineering team.

Team

Inference: The team owns how our client’s models run in production – inference engines, GPU efficiency, model acceleration and the distributed serving infrastructure behind realtime voice and LLM products.

This is an opportunity for senior engineers who want to work deep inside modern inference engines on problems at real consumer scale.

Responsibilities

• Own inference optimization end-to-end, from research models to production deployment;
• Optimize latency and throughput of realtime voice and LLM inference at consumer scale;
• Work inside inference engines such as vLLM, TRT-LLM and SGLang to improve performance;
• Apply model acceleration techniques – quantization, distillation, speculative decoding, caching, continuous batching and paged attention;
• Write high-performance code in C++, CUDA, Rust or optimized Python for GPU workloads;
• Build and scale distributed multi-GPU and multi-node serving with Kubernetes, Ray and custom load balancing for high concurrency;
• Collaborate with research and product teams to bring new models into production.

Requirements

• 5+ years of experience as an ML inference or systems engineer, at senior level (Google L5 / Meta E5 or equivalent);
• Hands-on ML inference optimization inside vLLM or TRT-LLM (engine-level work, not only deployment);
• Experience building backend/ML systems and serving models in production;
• Systems programming and GPU optimization skills: C++, CUDA, Rust or optimized Python;
• Experience with model acceleration: quantization, distillation, speculative decoding, caching, continuous batching, paged attention;
• Distributed systems experience: Kubernetes, Ray, load balancing, multi-GPU/multi-node inference, high concurrency;
• Based in the US, Canada, UK, Germany, Switzerland or Serbia;
• Excellent communication skills in English.

Nice to have

• A track record of fast promotions;
• Public technical work – open-source inference engine contributions or technical write-ups;
• PhD in Computer Science, Physics or Mathematics, or a degree from a top CS program;
• Ability to commute to Mountain View, CA.

The offer

• Project/Client: Fast-growing AI company (realtime voice and LLM)
• Location: Onsite in Mountain View, CA (preferred), or remote in the US, Canada, UK, Germany, Switzerland or Serbia
• Language: English
• Engagement: Full-time
• Contract: Permanent employment
• Salary: $250K–$300K base + competitive equity
• Visa and relocation: H-1B / OPT transfers supported; relocation assistance to the San Francisco Bay Area

Offer and onboarding

Successful candidates will receive an offer and begin the onboarding process.

Information about the processing of your personal data is provided in our Privacy Policy.