Senior Staff Machine Learning Engineer, Search & Discovery

Instacart

Remote
Base: $261,000 - $330,500 usd; bonus/equity: new h...
Remote
Define technical vision for shopping ml
Build large scale ml systems
Combine llm reasoning with traditional ml
Instacart is seeking a Senior Staff Machine Learning Engineer to lead the transformation of its search and discovery systems, leveraging advanced machine learning technologies. The role involves defining the technical vision and building large-scale machine learning systems that enhance customer shopping experiences

Job Summary

  • Instacart powers millions of shopping journeys every day across one of the largest online grocery catalogs in the world.
  • We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation by defining the technical vision for how machine learning powers the Instacart shopping journey.
  • This is a hands-on IC and technical leadership role at the Director level with no people management responsibilities, shaping long term technical direction while building production systems that serve millions of customers in real time.

Matching Summary

Match Score: 85

Instacart is seeking a Senior Staff Machine Learning Engineer to lead the transformation of its search and discovery systems, leveraging advanced machine learning technologies. The role involves defining the technical vision and building large-scale machine learning systems that enhance customer shopping experiences.

Salary

Base: $261,000 - $330,500 USD; Bonus/Equity: New hire equity grant and annual refresh grants; Benefits: Not specified

Skills & Requirements

Must-have

  • Define technical vision for Shopping ML
  • Build large scale ML systems
  • Combine LLM reasoning with traditional ML
  • Influence company wide ML architecture
  • Mentor senior/staff engineers

Nice-to-have

  • Experience with e-commerce platforms
  • Fine-tuning LLMs for low latency
  • Building ML infrastructure for experimentation
  • Recognized technical leadership

Key Requirements

  • Master’s or PhD in CS, ML, AI, or equivalent
  • 10+ years building and operating large scale ML systems
  • Proven track record architecting ML systems
  • Deep expertise in recommendation systems, ranking, embeddings, or search
  • Experience combining generative AI with traditional ML
  • Experience designing ML platforms
  • Ability to influence senior leaders
  • Experience mentoring engineers

Work Rights

Not specified

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