Machine Learning Infrastructure, Software Engineer (Staff/Senior)
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, we use machine learning and internet scale data to elevate customer experience, improve efficiency and reduce cost in e-commerce, advertising, and fulfillment. For example, we build large, distributed machine learning models for personalization and recommendation. The job of the ML Infrastructure team is to provide an easy to use, flexible, elastic, and highly available platform to our machine learning engineers and enable them to train, debug, deploy, and monitor their models.
About the job
Joining our team will give you a chance to grow your career and interests in a dynamic and fast paced environment! We design solutions for machine learning infrastructure that will support the current and future needs of our business. There are many unique use cases that require innovation, both in the application and infrastructure level. You will:
- Apply your system software and machine learning knowledge to build scalable, reliable, and easy-to-use machine learning workflows.
- Enable machine learning teams to perform scalable training, evaluation, inference, debugging, monitoring in the cloud and on prem.
- Enable software engineers across the company to use machine learning solutions.
- Work closely with related teams, including Search, Ads, Personalization & Recommendation and other teams across Instacart to ensure that applications that require ML services work seamlessly.
About you
We're looking for engineers with working knowledge of the complete machine learning lifecycle, using frameworks such as Tensorflow, Karas, and Sci-kit Learn. Experience using AWS and/or other major cloud platforms to build data-intensive infrastructure, specifically for ML applications, will be valuable as well. We're also looking for:
- Background in Computer Science, Math, Statistics, or a related field.
- 5+ years of industry experience building ML infrastructure at scale (3+ years for junior level candidates)
- Proficient in Python or C++. Experience writing and maintaining high-quality production code
- Experience with publicly available ML platforms such as Sagemaker, Kubeflow, and MLflow (Preferred)
- Deep knowledge of Linux operating system and proficient in Bash
- Experience in using Kubernetes (or similar orchestration platforms), Kafka (or similar streaming platforms), low latency data management systems such as Redis, RocksDB, DynamoDB
- Knowledge of machine learning concepts and fundamentals
- Experience with automation platforms such as Jenkins, Ansible, and Terraform
- Contribution to, and interaction with, open source projects in big data and distributed systems is a bonus
#LI-Remote
Accommodations & Accessibility
At Instacart, we strive to create an accessible and inclusive experience for all candidates. If you need assistance submitting an application through our career site due to a disability, please submit an Accommodations Request Form and someone from our team will reach out soon to see how we may be able to assist.
