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Senior AI/ML Engineer

2 months ago


San Francisco, California, United States Hinge-Health Full time
About the Role

We are seeking a highly skilled and experienced Principal Software Architect to join our team at Hinge Health. As a key member of our engineering team, you will play a pivotal role in guiding and accelerating the evolution of our AI and related Infrastructure initiatives.

Key Responsibilities
  • Technical Leadership: Provide technical leadership and vision for the development of our AI and ML solutions, ensuring they meet the highest standards of quality, scalability, and reliability.
  • Architecture and Design: Design and architect large-scale, company-wide platform projects, leveraging your extensive experience and thought leadership to drive technical innovation.
  • Collaboration and Communication: Work collaboratively across science and engineering teams to set up robust AI/ML compute infrastructure for training and evaluation, and real-time services for latency-sensitive applications.
  • Mentorship and Guidance: Play a defining role in growing the engineering talent, through mentorship and guidance, matching career goals to business objectives, whether from within the company or hiring external talent.
  • Thought Leadership: Author thought papers on the use of AI/ML in the healthcare space, present to company leadership as well as the engineering and product organizations, and drive the technical vision in the AI/ML engineering space.
Requirements
  • Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or Physics.
  • Experience: 12+ years of non-internship full-time professional software development experience, with 4+ years of experience working on AI and ML related projects.
  • Skills: Extensive experience in designing and working in distributed systems-based architecture, developing APIs, and implementing scalable backend systems.
  • Leadership: Extensive experience in mentoring and leading junior team members, collaborating effectively with cross-functional teams, and contributing to project planning and decision-making.
Preferred Qualifications
  • Advanced Education: Master's degree in Computer Science, Engineering, Mathematics, or Physics.
  • Expertise: Expertise with the AI/ML ecosystems at the PhD level and equally with Product managers and executive leadership teams to ensure iterative progress in a fast-paced environment.
  • Healthcare Experience: Experience working with Healthcare/Personally Identifiable (PII) Data, and building healthcare compliant (HIPAA) data lakes.
  • Distributed Architecture: Strong expertise with distributed Architecture, with deep exposure to API design & versioning, domain-driven design, event-driven systems, and microservices that serve both web and mobile frontends.
  • High Availability Systems: Experience with high Availability Systems, with strong point of view about telemetry, self-healing systems, buffers and queues, idempotency, disposability, and multi-tenancy.
Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $248,000 - $372,000.