Staff AI/ML Infrastructure Engineer
Permanent Remote, US
Posted on 6/5/2023
Houston, TX, USA
Experience Level
Desired Skills
Apache Spark
  • BS/BTech (or higher) in Computer Science or a related field required
  • Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience
  • 7+ years of experience developing and shipping code for production systems
  • Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark, SQL, Python, R, etc.)
  • Demonstrated leadership and self-direction
  • 4+ years of demonstrated proficiency scaling large scale machine learning systems, feature engineering, and model optimization
  • Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
  • Experience with security and systems that handle sensitive data
  • Improve ML infrastructure for model development, training, and deployment
  • Design multi-year vision, shaping the direction of some of our crucial machine learning areas - intervention identification, attribution prediction, and patient ranking and relevance
  • Architect systems to improve the relevance and drive business outcomes by making large, complex data sets more accessible
  • Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts
  • Maintain the security of protected patient health information
  • As the engineering team grows, you will lift the people around you:
  • Mentoring and galvanizing new engineers to do their best work
  • Working across disciplines to shape a product strategy and execution

501-1,000 employees

Primary care physician platform