Machine Learning Engineer, Inference & Serving (Speech LLM)

IntelliPro Group Inc.; San Francisco (CA); Hybrid; USD 170,000 - 320,000; Full time

Benefits offered by this job

Competitive salary

Healthcare (medical, dental, vision)

401(k) with company match

Unlimited PTO and paid holidays

New parent leave

Hybrid office

Equipment provided

Job summary

IntelliPro Group is seeking a Machine Learning Engineer focused on Inference & Serving (Speech LLM) in San Francisco, CA, hybrid. You will build ultra-low-latency inference systems for large language and speech models, balancing latency and throughput across a GPU cluster.

You will collaborate with core ML training and backend infra teams to push performance, efficiency, and scalability, including real-time audio streaming and advanced decoding techniques. A strong systems mindset is essential.

Qualifications

• Hands-on experience building high-throughput, ultra-low-latency inference engines for LLMs or foundational speech models.
• Understanding latency, throughput and Time-To-First-Token tradeoffs in real-time streaming.
• Experience with multi-GPU multi-node inference pipelines and autoscaling with Kubernetes.

Responsibilities

• Design and deploy high-throughput, ultra-low-latency inference systems for LLMs and speech models.
• Collaborate with ML training and backend infrastructure teams.
• Optimize GPU utilization and memory hierarchy to remove bottlenecks.
• Implement advanced inference techniques to reduce latency and improve throughput.

Skills

Low-latency inference

Distributed GPUs

Real-time streaming

WebSocket/WebRTC

Tools

NVIDIA Triton

vLLM

TensorRT-LLM

Kubernetes

Job description

Machine Learning Engineer, Inference & Serving (Speech LLM) — San Francisco, CA (Hybrid)

Overview

We are looking for a Machine Learning Engineer, Inference & Serving (Speech LLM) to build and deploy high-throughput, ultra-low-latency inference systems for large language models and foundational speech models.

You may be a good fit if you:

• Have hands-on experience building and deploying high-throughput, ultra-low-latency inference engines for large language models or foundational speech models.
• Understand the intricate tradeoffs between latency, throughput, and Time-To-First-Token (or Time-To-First-Audio) in real-time streaming environments.
• Have practical experience with continuous batching, KV cache management (e.g., PagedAttention), and stateful connections necessary for real-time conversational AI.
• Possess a deep understanding of GPU architectures (NVIDIA Ampere/Hopper) and the memory hierarchy, allowing you to identify and eliminate hardware bottlenecks.
• Communicate clearly and collaborate effectively, as you will sit at the critical intersection between the core ML training team and the backend infrastructure team.
• Thrive in fast-moving environments and genuinely enjoy the systems-engineering challenge of squeezing every last drop of performance out of a cluster of GPUs.
• Are obsessed with building AI systems that natively understand and generate speech.

Strong candidates may also have experience with:

• Frontier Serving Frameworks: Deep, under-the-hood familiarity with modern LLM serving frameworks like vLLM, TensorRT-LLM, SGLang, or NVIDIA Triton Inference Server (bonus points for active open-source contributions to these repositories).
• Real-Time Audio Streaming: Experience handling continuous audio streams over WebSockets or WebRTC, deploying neural audio codecs, and managing chunked audio generation to minimize conversational latency.
• Advanced Inference Techniques: Implementing cutting-edge generation algorithms such as speculative decoding, lookahead decoding, or chunked prefill.
• Model Compression & Quantization: Hands-on experience with post-training quantization (PTQ), deploying models in FP8, INT8, AWQ, or GPTQ, without degrading audio naturalness or ASR accuracy.
• Large-Scale Distributed Systems: Deploying multi-GPU (Tensor Parallelism) and multi-node inference pipelines, and managing autoscaling infrastructure using Kubernetes.

What We Offer

• Competitive Compensation: $170K - $320K base salary + performance bonus + Equity.
• Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy.
• Retirement Planning: 401(k) plan for full-time employees with company matching.
• Paid Time Off: Unlimited PTO, plus 13 paid holidays.
• New Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender.
• Hybrid Office: Minimum of 3x in-office per week to foster highly collaborative, fast-paced research.
• Gear & Perks: Choice of top-of-the-line laptops/workstations, annual offsites, and a fully stocked office.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.

About Us

IntelliPro Group Inc. is a global staffing and talent solutions company. We connect exceptional professionals with leading organizations across technology, engineering, and professional services. By partnering closely with both clients and candidates, we build long-term relationships that help businesses grow and careers thrive.