ML Platform Engineer - Scalable AI Infra with Equity

Sarsfield Group; United States; On-site; USD 155,000 - 240,000; Full time

Benefits offered by this job

Health and Dental

Life Insurance

401(k) matching

Equity

Job summary

Sarsfield Group is seeking an ML Platform Engineer to build the infrastructure powering its AI capabilities. You will design and operate systems from data pipelines and model training to deployment, inference, observability, and continuous improvement.

You will collaborate with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure, ensuring reliability, cost efficiency, and scalability for production workloads.

Qualifications

• Strong software engineering fundamentals and experience building production systems.
• Experience building ML infrastructure, platforms, or production machine learning systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and system reliability.
• Ability to write clean, maintainable, production-quality code.
• Comfortable working in ambiguous, fast-moving environments.
• Bias toward ownership, experimentation, and continuous improvement.

Responsibilities

• Build and operate the ML infrastructure and platforms powering AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimise model serving and inference infrastructure for high-throughput and low-latency workloads.
• Improve reliability, scalability, latency, and cost efficiency of AI systems.
• Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
• Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster.
• Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
• Build production observability, monitoring, tracing, and alerting for AI/ML workloads.
• Improve AI systems across reliability, scalability, latency, throughput, and cost.
• Identify bottlenecks across the ML stack and continuously improve system performance.
• Work closely with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.

Skills

Strong software engineering

ML infrastructure experience

Model deployment & inference

Distributed systems

Production-quality code

Ambitious fast-moving env

Ownership & experimentation

Tools

PyTorch

JAX

vLLM

SGLang

TensorRT-LLM

Cloud infrastructure

Vector DB

Retrieval infra

Job description

Sarsfield Group is seeking an ML Platform Engineer to build the infrastructure powering its AI capabilities. You will design and operate systems from data pipelines and model training to deployment, inference, observability, and continuous improvement.

You will collaborate with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure, ensuring reliability, cost efficiency, and scalability for production workloads.