JobHabor

Senior Staff Machine Learning Engineer, Search & Discovery

Instacart

Location
California · New York · Connecticut +17
Workplace
Remote
Employment
Full Time
Salary
USD 261,000–330,500/yr
Apply on the employer’s site

Posted 4mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Define and drive the long term technical vision for Shopping ML
  • Lead development of AI systems that fundamentally improve how customers discover products
  • Architect large scale ML systems combining LLM reasoning, retrieval, ranking, recommendation models, and personalization
  • Build and operate production ML systems powering real time shopping experiences
  • Identify foundational ML capabilities that unlock new customer experiences
  • Partner with senior leaders across product, engineering, and data science
  • Influence company wide ML architecture
  • Mentor senior/staff engineers

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field, or equivalent industry experience
  • 10+ years building and operating large scale machine learning systems in production
  • Proven track record architecting ML systems that power core product experiences at global scale
  • Deep expertise in recommendation systems, ranking models, embeddings, representation learning, or search systems
  • Experience combining generative AI with traditional ML systems such as retrieval, ranking, and personalization
  • Experience designing ML platforms that support large scale experimentation, training, and deployment
  • Ability to influence senior engineering and product leaders and drive technical strategy
  • Experience mentoring engineers and raising the technical bar across teams

Preferred

  • Experience building search, discovery, or recommendation systems for large consumer platforms
  • Expertise in large language models, agentic AI systems, or tool using AI architectures
  • Experience fine tuning and distilling LLMs for low latency production systems, balancing model quality, latency, and cost
  • Experience building ML infrastructure supporting large scale experimentation and model deployment
  • Background working on e-commerce, marketplaces, or large consumer platforms
  • Recognized technical leadership through publications, patents, conference talks, or open source contributions

Skills

  • Machine Learning
  • Generative AI
  • LLM
  • Large Language Models
  • Agentic AI
  • Retrieval
  • Ranking
  • Recommendation Systems
  • Personalization
  • Embeddings
  • Representation Learning
  • Search Systems
  • AWS

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