Instacart

Grocery Delivery

SeniorSoftwareEngineerII,(ML/AIPlatform)

$192–242k Los Angeles, California, United States; United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer II, (ML/AI Platform) at Instacart. Skills: ML/AI Platform, Software Development, Distributed Systems. Building internal platform for training AI models. Deploying AI models”

What You'll Achieve.

Impact success of Instacart

Industry & Context.

Grocery Delivery
Problems you'll solve

Navigating ambiguous, hairy, and technical problem spaces

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, a related field, or equivalent practical experience, 3 years of experience with software development in one or more programming languages, 2 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems, 1 years of experience leading projects and providing technical leadership, proficiency in maintaining high standards for production services, Rapid coding skills, management of production services, Experience with high scale throughput and distributed systems problems

Nice to Have

communication skills and ability to contextualize problems across various audiences, Skilled at navigating ambiguity and involving the right stakeholders to address issues efficiently, Experience building and shipping products to users, Expertise building platforms and high scale infrastructure, Visionary thinker capable of generating transformative ideas, Prior experience working with AI Platforms like Ray

What You'll Do.

Building internal platform for training AI models

Defining platform for AI model fine-tuning

Defining platform for batch inference

Supporting infrastructure for workloads

Driving use cases end to end

How You'll Work.

Team & Collaboration

Working closely with seasoned engineers and leaders; Managing cross-cutting stakeholder relationships

Communication Scope

Ability to contextualize problems across various audiences

Process & Methodology

Leading projects

Full Job Description

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. 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. Learn more about our flexible approach to where we work. Overview At Instacart, the ML/AI Platform team is a critical part of enabling the business across all areas. From owning the online/offline feature store to the serving and training layer, our team enables the entire business to succeed. We take pride in having extreme levels of ownership and high levels of collaboration. You will be working closely with seasoned engineers and leaders across the company to drive specific use cases end to end. Our work directly impacts the success of Instacart. About the Job As a Senior Engineer on the ML/AI platform team, you will play a key role in building the internal platform which supports training and deploying AI models across the entire organization. You’ll take ownership of defining the platform to enable AI model fine-tuning and batch inference by building the SDKs and supporting the infra to support these unique workload

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