GrepJob
2 days ago
Cambridge, MA, USAStaff+
H1B Sponsor

Base Salary

$188k - $259k/yr

Responsibilities

  • Own the technical architecture and implementation for AI-powered product areas.
  • Design and build production-grade systems end-to-end.
  • Engage directly with scientific and ML users to understand their needs.
  • Make high-stakes technical decisions regarding system architecture and integration patterns.
  • Collaborate with product and ML science counterparts to shape product strategy.
  • Participate in architectural reviews to raise the collective engineering standard.
  • Use AI-native engineering tools to enhance daily practices.
  • Coordinate the work of embedded software engineering contractors when necessary.

Requirements

  • Experience as the technical authority on complex, production-grade systems.
  • Proven track record of building software used by researchers and scientists.
  • Experience designing and shipping systems with ML or AI components.
  • Ability to operate effectively in ambiguous, fast-moving environments.
  • Experience working closely with ML scientists to bridge experimental models and production software.
  • Strong system design skills and ability to evaluate architectural options.
  • Fluency in AI-native engineering and understanding of LLM capabilities.

Benefits

  • Own the technical architecture of impactful product areas.
  • Work on challenging engineering problems at the intersection of AI and scientific data.
  • Operate with principal-level autonomy in a lean team.
  • Use state-of-the-art AI tools as a core part of engineering practice.
  • Collaborate with world-class scientists and ML researchers.
  • Competitive compensation and benefits, including equity.

Categories

AI & MLData EngineeringFull Stack