2 дня назад
Senior ML Engineer - NLP
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer - NLP (LLM and healthcare AI): Building reliable LLM agent workflows that turn spoken notes into structured nursing documentation with an accent on model training, evaluation, privacy, latency, and production engineering. Focus on designing benchmarks and regression tests, investigating failures across applications and models, and adapting smaller models for quality, speed, cost, and sensitive-data protection.
Location: Berlin, Germany; hybrid workplace
Company
develops AI that converts spoken notes from care professionals into structured documentation, helping more than 200,000 care workers reduce administrative work.
What you will do
- Build and improve LLM agent workflows for nursing forms, assessments, care reports, and care-plan suggestions, including tools, context, state, and prompts.
- Create production-trace and synthetic-scenario benchmarks, regression tests, and evaluations that guide product decisions.
- Investigate real-world failures across the app, backend, and models, then implement fixes, tests, and data-labeling tasks.
- Train or adapt models when they improve quality, speed, cost, or privacy, including personal-data detection and smaller models.
- Optimize model routing, caching, latency, cost, and sensitive-data protection.
- Work with product, engineering, data, and customer-facing teams, incorporating feedback from care professionals.
Requirements
- Experience training, evaluating, and shipping ML or NLP models to production, including explaining decisions and results.
- Experience building evaluations for ML or LLM systems and using error analysis and regression tests to guide product decisions.
- Hands-on production experience with LLMs, including agents or tool use, structured outputs, and context design.
- Strong software engineering skills, including tested and reviewable production code and the ability to learn unfamiliar languages or frameworks.
- End-to-end problem-solving, sound judgment with sensitive data, and ownership in an ambiguous, fast-paced product environment.
- Fluent English required.
Nice to have
- Experience with Python, Kotlin Multiplatform, JetBrains Koog, Claude, open models, or on-device models is useful, but specific languages and frameworks are not required before joining.
Culture & Benefits
- Work on a product with direct social impact and feedback from care professionals.
- Grow into ownership of a domain, market, or technical area while shaping a young agent stack.
- Collaborate with engineering and product teams through written communication, shared learning, and regular time together.
- Receive stock options and access to language courses.
Hiring process
- Apply with details about the systems built, lessons learned, and their impact.
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