Tech jobs
Job listings
Staff AI/ML Engineer - Sigma
Staff AI/ML Engineer joining Sigma's AI Labs team to prototype and productionize AI systems—recommendations, natural-language interfaces, agentic workflows—and scale the AI/ML infrastructure behind Sigma's cloud-data-warehouse analytics platform. Requires 10+ years shipping production AI/ML; based in New York or San Francisco.



Senior/Staff Machine Learning Engineer - Content Discovery
Early ML engineer on Suno's recommendations team building music discovery and personalization: designing models of user taste, deploying scalable real-time recommendation/ranking systems, and running large-scale experiments. Core stack is Python and PyTorch, working closely with the founding team in San Francisco.
Staff Computer Vision Engineer - Perception
Join SE3 Labs as Staff Computer Vision Engineer - Perception Take on SE3's hardest perception problems as a hands-on technical leader, and ship systems that work on real missions. About SE3 SE3 Labs builds spatial…




Staff Machine Learning Engineer(Platform - Identity)
Staff Machine Learning Engineer on Coinbase's Identity Verification (Platform) team owns the ML systems that decide whether people, documents, and capture sessions are legitimate. Day to day they build and run document-authenticity, face-match, liveness/deepfake-detection, and GNN-based identity-graph models in Python (TensorFlow/PyTorch), tuning them for real-time fraud enforcement and mentoring

Staff Machine Learning Engineer - Ops
Wayve is hiring a Staff ML Engineer for its Model Integration and Release team in London to own the release process for its autonomous driving models — defining branching/release workflows, reviewing model and code changes, and building CI/CD pipelines, evaluation tooling, and monitoring. Core tech includes PyTorch, TensorRT, GitHub Actions, and model deployment/registry tooling.
Staff AI/ML Engineer
Build and deploy AI/ML systems that power Sigma’s analytics platform, enabling users to explore data, build apps, and automate workflows with natural language and agentic tools.

Senior Staff / Staff Machine Learning Engineer
Build and deploy large language models, AI agents, and multimodal systems to improve e-commerce experiences at a fast-growing global retailer.
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work Fro
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into…


Staff Machine Learning Operations Engineer
Garner Health is hiring a Staff MLOps Engineer in its NYC office (hybrid, Tue-Thu) to own the reliability, performance, and cost of production ML systems. The first dedicated MLOps hire will build the ML platform — model serving, feature store, model registry, ML CI/CD, and drift monitoring — using Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, and Datadog.

Staff AI/ML Platform Engineer
A Staff AI/ML Engineer on Medallia's AI Platform team sets the technical direction for the AI platform, architecting in-house and cloud-native ML infrastructure, data pipelines, APIs, and standards for next-generation AI products on the Medallia Experience Cloud SaaS platform. Core stack includes Python/Java/Scala, Kubernetes, Spark/Hadoop/Kafka, Postgres, and AWS.

Staff Software Engineer, Machine Learning
A senior ML engineer builds and deploys perception and autonomy models for autonomous maritime drones, running inference on edge hardware and optimizing pipelines for real-time, mission-critical operations.
Staff Machine Learning Engineer - Munich
At PPRO, we simplify access to local payments - providing a local payments platform that empowers giants like PayPal, Stripe, and Microsoft to connect with billions of consumers worldwide. We are on an ambitious,…
Senior Staff Machine Learning Engineer (Coupang AI Foundations)
Build and optimize AI models for e-commerce at Coupang, focusing on deep learning techniques like LLMs and computer vision to improve product enablement and reasoning.