Instacart is hiring a
AI Infra Engineer

Summary

Join our team and help us transform the grocery industry by designing, developing, and maintaining our data platform for deep learning and computer vision applications.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, full-stack and/or infrastructure development
• Proven experience with building and maintaining large-scale data pipelines (batching or streaming) for computer vision and/or machine learning applications
• Familiarity with observability and monitoring tools (e.g. Datadog) and best practices
• Familiarity with frameworks for large-scale data processing (e.g., Kafka, Spark, Airflow, Ray), storage (e.g., S3, Delta Lake), indexing and search (e.g. Elasticsearch)
• Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• Strong problem-solving skills to work in a fast-paced, dynamic environment
• Excellent communication skills to work collaboratively in a cross-functional team

Responsibilities

• Design, build, and maintain scalable and efficient data pipelines for collecting, processing, and storing large volumes of structured and unstructured data, specifically image and video streams and relevant metadata
• Develop and integrate tools for data labeling and annotation, ensuring high-quality training datasets for deep learning and computer vision models
• Collaborate with data scientists and machine learning engineers to build and optimize the infrastructure required for training and evaluating deep learning models at scale
• Build and maintain CI/CD pipelines to seamlessly deploy machine learning models into production environments

Preferred Qualifications

• Experience building and/or integrating computer vision data collection, labeling and management systems
• Experience in edge inference and optimization on Nvidia chipsets
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and model management platforms (e.g., Kubeflow, MLflow, TensorBoard)
• Knowledge of computer vision and machine learning algorithms and models

Benefits

• Market-competitive compensation
• Flexible work arrangement (Flex First)
• New hire equity grant
• Annual refresh grants