Staff Software Engineer — Remote, Open-Source AI/Privacy

OpenMined

United States

Remoto

CAD 209.000 - 265.000

Tempo pieno

4 giorni fa

Candidati tra i primi

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Fully remote work

Descrizione del lavoro

OpenMined is seeking a Staff Software Engineer to lead distributed, scalable AI infrastructure within a fully remote role for US, Canada, or Latin America. You’ll guide multiple squads, own system architecture, and enable analysts, researchers, and developers to work with private data while maintaining strong privacy protections.

You will write code daily, set technical direction 6–18 months out, and drive cross‑team alignment.

Competenze

8+ years of professional software engineering experience, building and operating production systems at scale.
Proven product sense and user empathy with direct user research and usage data.
UX and interaction design skills for APIs, SDKs, CLIs.
Strong AI/ML understanding: LLMs, embeddings, retrieval, evaluation, costs and latency tradeoffs.
Hands-on experience with AI coding agents and governance of agentic workflows.
Strong Python (3.12+) proficiency, including FastAPI, async patterns, and Docker deployment.
Distributed systems and API design across multiple teams or external developers.
Staff-level technical leadership, mentoring engineers and guiding architectural decisions.
Long-range planning across teams and multi-quarter technical direction.
Comfort with ambiguity, resource constraints, and build/kill judgments.
Async-fluent communication and cross-functional collaboration.

Mansioni

Set technical direction across Engineering for 6–18 months, aligning cross-team efforts.
Lead through influence using design docs, RFCs, and decision records to enable async collaboration.
Own architecture and standards for one or more deployed system areas.
Translate ambiguous goals into concrete technical programs with measurable outcomes.
Establish patterns and shared libraries; define standard interfaces to keep teams loosely coupled.
Identify designs that won’t scale and redirect early.
Lead on production readiness, monitoring, and incident learning.
Grow senior engineers through coaching, design reviews, and pairing.
Advise the Head of Engineering on risk, sequencing, and build-vs-buy decisions.
Resolve cross‑team disputes with durable decisions.
Bring user perspectives into technical decisions through direct conversations and usability analysis.
Own end-to-end experiences for developer and user flows and APIs.
Lead on AI/ML system design, including retrieval, routing, and cost tradeoffs.
Champion agentic engineering and guardrails for AI coding agents.