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Strativ Group

Machine Learning Systems Engineer

palo alto, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Strativ Group lists this Machine Learning Systems Engineer opportunity in palo alto, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

We are working with an early-stage AI infrastructure company in Palo Alto building the systems that will power the next generation of agentic AI. The company is currently focused on high-performance TPU and GPU inference serving, with a broader vision to build an agent cloud for self-improving models and agents. This is a genuinely early founding-team opportunity. You will work directly with the founders and have significant influence over both the technical architecture and the direction of the company.

About the Role

You will build and optimize production infrastructure for large-scale AI workloads. The work sits at the intersection of ML systems, distributed systems and AI infrastructure. You could be working anywhere from low-level serving and runtime performance through to the infrastructure required for long-running, self-improving agent systems.

Responsibilities

Build and optimize production infrastructure for large-scale AI workloads, with a focus on:

High-performance TPU and GPU inference

Distributed model serving and scheduling

Runtime and systems optimizationLatency, throughput and infrastructure cost

Reliability, observability and deployment

Infrastructure for increasingly autonomous and agentic workloads

The work sits at the intersection of ML systems, distributed systems and AI infrastructure. You could be working anywhere from low-level serving and runtime performance through to the infrastructure required for long-running, self-improving agent systems.

Required Skills

What They Are Looking For

You do not need experience across the entire stack, but you should have a strong background in one or more of:

ML systems or AI infrastructure

Model inference and serving

Distributed training or inference

GPU or TPU systems

High-performance or low-latency distributed systems

Scheduling, runtimes or compiler-level optimization

Location: Palo Alto, in office

Compensation: Exceptional packages, up to $500,000 cash

Equity: Meaningful founding equity, typically around 1–2%

Significant technical ownership from day one.

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Worksite address

palo alto, CA, 94306, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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