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Health AIML - Distinguished Engineer

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 210000 - 290000 USD Yearly USD 210000.00 290000.00 YEAR
Job Description & How to Apply Below

DESCRIPTION

The Health AI team is at the forefront of machine learning and health science  are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

MINIMUM

QUALIFICATIONS
  • 10+ years of overall software development experience. Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
  • BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
  • Architectural & Infrastructure Scale:
    Demonstrated experience building, optimizing, and scaling massive data pipelines and machine learning infrastructure to accommodate rapid, hyper-growth customer traffic and real-time operations.
  • Real-Time Algorithmic Execution:
    Strong track record in deploying models that handle real-time prediction problems with hundreds of moving variables and imperfect or noisy live data.
  • System Optimization & Constraints:
    Deep appreciation for frontend and client-side performance, with the ability to optimize complex algorithms to run seamlessly on consumer devices under strict resource or latency boundaries.
  • Consumer Product Sensibility:
    Proven ability to manage and lead engineering efforts that map direct backend machine learning capabilities to seamless, intuitive, and highly performant end-user applications.
  • Technical Quality Leadership:
    Extensive background in driving core engineering processes, championing great coding practices, and determining optimal architectures for reliability, developer productivity, and overall service health.
  • Core Technical Foundation:
    Robust software engineering fundamentals with experience in large-scale platform development, transactional systems, or multi-sided optimization marketplaces.
  • Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
  • Proven track record of contributing to diverse teams in a collaborative environment.
  • A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
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