phare-r1-r37 - Software Engineer - MLOps

• Production ML: You’ve deployed and operated models running on GPUs in production - APIs and batch/streaming inference • Platform engineering: Strong with Docker/Kubernetes, IaaC (e.g., Terraform), and CI/CD for services and model artifacts; you maintain environment parity, reproducible releases, and robust model/experiment versioning with data lineage • System Reliability: You use progressive delivery with automated rollouts/rollbacks, and you build end-to-end observability (metrics, logs, traces, and model telemetry for drift/regression) plus actionable alerting, runbooks, and incident response • Post-training lifecycles: You manage model registries and stage gates, design scheduled or event-driven retraining when appropriate, and enforce RBAC, secrets management, encryption, and audit logs • Bonus: Experience in regulated environments (e.g., healthcare, finance) • We are looking for candidates at various levels, ranging from Level 2 to Staff • L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work • L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work • Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. • Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. • Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode) • Culture interview in person in NYC • Interview Logistics Notice • As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants. • For this US-based position, the base pay range is $140,000.00-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. • This job is eligible to participate in our annual bonus plan.