5 дней назад
Manager, AI/ML Engineering
161 000 - 221 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, AI/ML Engineering (AI/ML and healthcare): Leading the execution of a machine learning roadmap and scaling production-grade systems for an AI-powered mental health platform with an accent on people leadership, clinical precision, and high-availability reliability. Focus on deploying safety-oriented models as Kubernetes microservices, governing the ML SDLC, and architecting cloud-native solutions on AWS.
Location: Remote, USA
Annual base salary: $161,000–$221,500
Company
provides evidence-based mental health care through an AI-powered platform that combines clinical services and technology.
What you will do
- Lead and scale an AI/ML engineering team through mentoring, performance management, career development, and technical guidance.
- Own quarterly planning and execution of AI/ML workstreams, including clinical program mapping.
- Partner with Product Management and Data Science to convert complex clinical requirements into robust, safety-oriented production models.
- Oversee the ML software development lifecycle, including design reviews, dataset lineage, automated evaluation, and the transition from research to production.
- Guide the deployment of stable microservices on Kubernetes and provide architectural direction for scalable cloud-native systems.
- Build an inclusive, high-performance engineering culture based on knowledge sharing, mentorship, and rigorous technical standards.
Requirements
- Experience leading and scaling high-performing ML/AI engineering teams in production environments.
- Strong people leadership, performance management, strategic planning, and cross-functional communication skills.
- Deep expertise in machine learning systems, including transformers, neural networks, and fine-tuning.
- Mastery of the ML SDLC, including dataset lineage, automated evaluation, and large-scale microservice deployment.
- Experience architecting cloud-native solutions on AWS or equivalent cloud providers.
- Ability to work remotely from the USA.
Nice to have
- High-performance production engineering experience with Java or Kotlin.
- Experience with HIPAA, SOC2, PHI, and PII in regulated healthcare environments.
- Experience building internal developer platforms or ML tooling for data scientists and engineers.
Culture & Benefits
- Collaborative work with physicians, therapists, data scientists, and product leaders.
- Healthcare, dental, vision, FSA/HSA, life, and disability insurance coverage.
- Coaching and therapy services, equity, paid vacation and sick leave, and paid parental leave.
- 401(k) plan with up to 3% matching and a monthly technology allowance.
- Well-being perks, community celebrations, and team activities.
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