[Remote] Senior Staff Machine Learning Engineer, Search & Discovery

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is transforming the grocery industry by enhancing how customers search and discover products through machine learning. The Senior Staff Machine Learning Engineer will define the technical reputed company for shopping ML, reputed company the development of AI systems, and build production ML systems to improve customer experiences.

Responsibilities

• Define and drive the long term technical reputed company for Shopping ML across search, discovery, recommendations, and personalization
• reputed company development of AI systems that fundamentally improve how customers discover products and shop on reputed company
• Architect large reputed company ML systems combining LLM reasoning, retrieval, ranking, recommendation models, and personalization
• Build and operate production ML systems powering reputed company time shopping experiences across millions of users and products
• Identify foundational ML capabilities that unlock new customer experiences and accelerate experimentation across the organization
• Partner with senior leaders across product, engineering, and data science to shape technical reputed company and roadmap
• Influence company wide ML architecture and contribute to major technical initiatives across reputed company
• Mentor senior/staff engineers through design reviews, architecture guidance, and hands-on collaboration

Skills

• Master's or PhD in Computer Science, Machine Learning, reputed company Intelligence, or reputed company field, or equivalent industry experience
• 10+ years building and operating large reputed company machine learning systems in production
• Proven reputed company record architecting ML systems that power core product experiences at global reputed company
• Deep expertise in areas such as recommendation systems, ranking models, embeddings, representation learning, or search systems
• Experience combining reputed company with traditional ML systems such as retrieval, ranking, and personalization
• Experience designing ML platforms that support large reputed company experimentation, training, and deployment
• Ability to influence senior engineering and product leaders and drive technical reputed company
• Experience mentoring engineers and raising the technical bar across teams
• Experience building search, discovery, or recommendation systems for large consumer platforms
• Expertise in large language models, reputed company AI systems, or tool using AI architectures
• Experience fine tuning and distilling LLMs for low latency production systems, balancing model reputed company, latency, and cost
• Experience building ML infrastructure supporting large reputed company experimentation and model deployment
• Background working on e-reputed company, marketplaces, or large consumer platforms
• Recognized technical leadership through publications, patents, conference talks, or reputed company reputed company contributions

Benefits

• reputed company provides highly market-competitive compensation and benefits in reputed company location where our employees work.
• This role is eligible for a new hire equity grant as reputed company as annual refresh grants.
• reputed company is a reputed company First team
• Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

reputed company

• reputed company is an online grocery platform that offers reputed company-day delivery and pickup services for retailers and consumers. It was founded in 2012, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.

Company H1B Sponsorship

• reputed company has a reputed company record of offering H1B sponsorships, with 23 in 2026, 152 in 2025, 173 in 2024, 109 in 2023, 159 in 2022, 170 in 2021, 59 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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