Senior ML Infrastructure Engineer - Scale AI Platforms

TrulyHired; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

401(k) match

Parental leave

Medical/dental/vision

Wellness stipend

Learning stipend

Office perks (SF)

Flexible PTO

Team outings

Job summary

Handshake is seeking a Senior Software Engineer to join the ML Infrastructure & Platform team, building the shared infrastructure behind production ML and AI systems. You will work at the intersection of software engineering, machine learning, and generative AI to move projects from prototype to production quickly and reliably.

You will help design and operate data pipelines, feature stores, training and model serving, while optimizing cost, latency, and scalability for a rapidly expanding AI

Qualifications

• 5+ years of production software engineering experience using Python, Go, TypeScript, or similar languages.
• Experience building and operating cloud infrastructure on AWS, GCP, or similar platforms.
• Strong experience with Kubernetes, Docker, Terraform, CI/CD, and operating production services.
• Hands-on experience building ML infrastructure, including model serving, training pipelines, feature stores, embeddings, or ML observability.
• Experience with modern data platforms such as BigQuery, Airflow, Spark, Beam/Dataflow, or streaming pipelines.
• Practical experience building production systems with LLMs or generative AI, including orchestration, provider APIs, observability, and performance optimization.
• Strong systems design skills, sound engineering judgment, and the ability to thrive in ambiguous, fast-moving environments.

Responsibilities

• Build and operate the shared infrastructure behind production ML and AI, including data pipelines, feature stores, training, and model serving.
• Develop and scale our LLM platform, including provider integrations, orchestration, observability, and controls for cost, latency, and reliability.
• Build evaluation infrastructure, including LLM eval harnesses, benchmarks, and quality measurement pipelines.
• Support post-training workflows, including fine-tuning, reinforcement learning pipelines, and supporting data infrastructure.
• Optimize inference infrastructure for open and fine-tuned models, including GPU serving, batching, and autoscaling.
• Partner with AI, Data Science, and Product teams to productionize new models and establish best practices for ML infrastructure across Handshake.
• Improve the reliability, scalability, and developer experience of our ML platform.

Skills

Python

Go

TypeScript

Cloud infra

Kubernetes

Docker

Terraform

CI/CD

ML infra

LLM platforms

Tools

Kubernetes

Docker

Terraform

CI/CD tools

BigQuery

Airflow

Spark

Beam/Dataflow

Job description

Handshake is seeking a Senior Software Engineer to join the ML Infrastructure & Platform team, building the shared infrastructure behind production ML and AI systems. You will work at the intersection of software engineering, machine learning, and generative AI to move projects from prototype to production quickly and reliably.

You will help design and operate data pipelines, feature stores, training and model serving, while optimizing cost, latency, and scalability for a rapidly expanding AI