Senior Machine Learning Engineer Ii, Search & Recommendations Ranking

Instacart

Remote
Ca, ny, ct, nj: $207,000—$253,500 usd; wa: $198,00...
Remote
Multi-task/multi-objective ranking
Value-aware optimization models
Llm-enhanced retrieval & features
Instacart seeks a Senior Machine Learning Engineer to enhance their search and recommendations ranking systems, focusing on multi-task and multi-objective models. The role emphasizes collaboration across teams to optimize the shopping experience and includes opportunities for mentorship and technical leadership

Job Summary

  • Instacart is transforming the grocery industry by building a value-aware platform that unifies search, discovery, recommendations, ads, and merchandising.
  • The role involves architecting the ranking backbone, designing autosuggest systems, and developing long-horizon objective functions for incrementality and LTV.
  • The company offers a flexible 'Flex First' work approach, allowing employees to choose where they do their best work, and provides competitive compensation and benefits.

Matching Summary

Match Score: 85

Instacart seeks a Senior Machine Learning Engineer to enhance their search and recommendations ranking systems, focusing on multi-task and multi-objective models. The role emphasizes collaboration across teams to optimize the shopping experience and includes opportunities for mentorship and technical leadership.

Salary

CA, NY, CT, NJ: $207,000—$253,500 USD; WA: $198,000—$243,000 USD; OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $190,000—$233,000 USD; All other states: $173,000—$212,000 USD; Bonus/Equity: Eligible for new hire and annual refresh equity grants; Benefits: Not specified

Skills & Requirements

Must-have

  • Multi-task/multi-objective ranking
  • Value-aware optimization models
  • LLM-enhanced retrieval & features
  • Production-grade Multi-Task Learning
  • Inference layer ownership
  • Advance evaluation practices

Nice-to-have

  • Causal inference expertise
  • Scalable serving systems
  • Long-horizon value models

Key Requirements

  • 5+ years applying ML at scale
  • 3+ years in technical leadership
  • Proven track record improving ranking/recommendation systems
  • Experience with multi-objective/constrained optimization
  • Experience with online testing and attribution beyond CTR
  • Strong coding (Python) and data fluency (SQL/Pandas)
  • Expertise in classic ML and deep learning frameworks

Work Rights

Not specified

Tailored Resume

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