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
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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