Senior ML Engineer (Fully Remote)

Sword; United States; Remoto; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. We seek engineers who can own ML projects end-to-end, from exploration through production, and design agentic LLM systems that operate in real-world settings.

You will collaborate with Product, Clinical, and Engineering teams, review code, mentor others, and contribute to data prep, model adaptation, serving, monitoring, and feedback loops for continuous improvement.

Competenze

• Experience shipping ML systems to production that people actually depend on.
• Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows.
• A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise.

Mansioni

• Own ML projects end-to-end from exploration through production deployment.
• Build agentic LLM systems with multi-step workflows and tool use.
• Lead evaluation efforts with regression tests and offline/online harnesses to prevent quality drops.

Conoscenze

ML systems in production

LLM workflows

Evaluation frameworks

Strumenti

Prompts

Retrieval

Agent workflows

Descrizione del lavoro

• Own ML projects end-to-end: take problems from exploration through production deployment and keep iterating once real users are on them.
• Build agentic LLM systems: design multi-step workflows with tool use, retrieval, and orchestration, and make them reliable enough for clinical settings.
• Treat evaluation as core engineering work: build eval sets, offline and online harnesses, LLM-as-judge pipelines with human review, and regression tests that catch quality drops before they reach users.

What You Need:

• Experience shipping ML systems to production that people actually depend on.
• Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows.
• A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise.

Why Join:

• Partner with Product, Clinical, and Engineering to translate clinical requirements into technical decisions.
• Help the team get better by reviewing code, sharing learnings, and mentoring earlier-career engineers.
• Work across the full AI stack: data prep, model adaptation, serving, monitoring, and feedback loops for continuous improvement.

Sword

Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. With over 700,000 members and 1,000+ enterprise clients, they are backed by $500M+ from top investors like Khosla Ventures and General Catalyst, defining a new standard in AI-native care.