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Senior Scientist, Machine Learning Research
Senior ML researcher designing and shipping AI/ML methods that predict and engineer protein-protein interactions from A-Alpha Bio's large-scale AlphaSeq datasets, including de novo antibody/minibinder design and affinity prediction models. Core stack: PyTorch/JAX, transformers, GNNs, diffusion, protein language models, AWS.
Senior Machine Learning Engineer, Fulfillment
Instacart is hiring a Senior Machine Learning Engineer in its Enterprise AI org (Fulfillment) to own the full ML lifecycle — problem formulation, data prep, training, experimentation, deployment, and monitoring — building production ML services in Python and SQL on cloud infrastructure to improve fulfillment outcomes.
Senior Machine Learning Engineer - Growth & Personalisation
Builds ranking, personalisation, and recommendation models in Python for Deliveroo's New Verticals team — deciding what grocery/retail content users see on landing pages and the homepage, and targeting notifications to turn restaurant-only users into grocery and retail customers. Hybrid role, 3 days a week in the London office.
Senior Machine Learning Engineer - Recommendations
Senior Machine Learning Engineer in Deliveroo's London office (hybrid, 3 days on-site) building recommendation, ranking and retrieval models that help customers discover restaurants, dishes and content on the food-delivery marketplace. Core stack includes Python, modern ML frameworks and large-scale data processing, with end-to-end ownership from framing to experiments and production monitoring.
Senior AI & ML Engineer - AML Search Quality
Senior AI/ML engineer on Seon's new AML Search Quality team, improving the accuracy of AML name screening (fewer missed true matches and fewer false positives) through fuzzy-matching models, evaluation datasets/metrics, and production monitoring. Core stack: Python, NLP/ML, SQL, Elasticsearch, and AWS.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning end-to-end machine learning systems for delivery ETA, merchant prep-time, and order release prediction, plus logistics optimization and AI quality signals built with deep learning, reinforcement learning, and LLMs/VLMs. On-site in San Francisco, Sunnyvale, or Seattle.
Senior Machine Learning Engineer, New Verticals Agentic Foundations
Senior ML engineer on DoorDash's Agentic Foundations team building and improving LLM-powered agents (starting with the Ask grocery assistant) via an eval-driven loop — iterating on prompts, tools, and context, and fine-tuning/deploying small language models to balance quality, latency, and cost, while launching new agent experiences for merchants and dashers.
Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail catalog team, designing, training, deploying and monitoring production machine learning models that keep the product knowledge graph accurate and semantically rich. Core stack includes PySpark, Snowflake SQL, PyTorch/scikit-learn-style frameworks, and AI coding tools like Claude Code and Cursor.
Sr. Machine Learning Engineer
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Senior Machine Learning Engineer (Biometrics & Face Recognition)
Senior ML engineer on Scandit's ID Capture team in Tampere, owning end-to-end face recognition, 1:1 face matching and liveness/PAD models for high-assurance identity verification. Models run fully on-device; stack is Python, PyTorch, ONNX and a C++ SDK on iOS/Android.
Senior Machine Learning Engineer
Senior ML engineer on Samsara's Safety AI team building the cloud-side ML backend for AI dash cameras: serving low-latency ML APIs, petabyte-scale data pipelines, model evaluation/monitoring, and edge-to-cloud optimization using languages like Python, Go, or C++ with tools such as PyTorch, Ray, and MLflow. Remote within the US or Canada.
Senior Machine Learning Engineer, CX
Senior ML Engineer on Coinbase's CX Intelligence Engineering team designs and builds AI-powered customer support systems: multi-agent LLM frameworks, chatbots, agent assist, and copilot tools that scale to millions of interactions. Core stack: Python, LLMs, LangGraph, Vertex AI/AWS Bedrock.
Senior Machine Learning Platform Engineer - Identity
Builds and operates the ML platform infrastructure powering feature engineering, model training, and model serving (including LLM inference) across Coinbase, supporting fraud detection, personalization, and blockchain analysis. Core work spans low-latency streaming pipelines, distributed training, and highly available inference services.
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Design and deploy reinforcement learning algorithms for robotic control and motion planning in dynamic environments, integrating with hardware and simulation tools like Isaac Gym and PyTorch.
Senior Applied ML Engineer
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.