Software Engineer – MLOps
New York City, New York, United States of America
Full Time
6 hours ago
$140,000 - $300,000 USD
Key skills
DockerKubernetesTerraformMLCI/CD
About this role
Role Overview
- Own the production runtime for Phare’s ML stack
- Deploy, serve, and scale models across inference endpoints and batch/streaming workflows
- Build progressive delivery pipelines with automated rollouts and rollbacks
- Manage SLOs for latency and availability
- Instrument end-to-end observability (metrics, logs, traces, drift, regression)
- Harden the platform with Terraform, Kubernetes, and CI/CD
Requirements
- 5 years of software engineering experience
- 2 years of ML Ops experience
- Production ML: deployed and operated models running on GPUs
- Strong with Docker/Kubernetes, IaaC (e.g., Terraform), and CI/CD
- System Reliability: progressive delivery with automated rollouts/rollbacks
- Manage model registries and stage gates, design retraining and enforce RBAC
Tech Stack
- Docker
- Kubernetes
- Terraform
Benefits
- Top-of-market compensation (salary + equity)
- Flexible PTO
- Hybrid in-office (min. 3 days per week)
- Comprehensive health benefits
- 401(k) matching
- Inspiring, brilliant, mission-driven teammates