13,767 Machine Learning jobs
Machine learning roles training and shipping ML models to production.



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.



Staff Machine Learning Engineer, Fulfillment Planning
Staff ML engineer on DoorDash's Fulfillment Planning team, building large-scale production ML systems for real-time delivery assignment, routing, and fulfillment/ETA estimation across the logistics network. Day-to-day spans Python, deep learning frameworks, optimization, and ML governance, plus mentoring and setting technical direction.



Staff Machine Learning Engineer, Personalization
Staff ML engineer building production personalization and growth models for DoorDash's consumer search across grocery and retail categories, partnering with product teams and mentoring juniors. Core work centers on Python ML (PyTorch/TensorFlow), causal inference, recommendation systems, and AI coding tools in a hybrid SF/Sunnyvale setup.



Staff Software Engineer, Machine Learning
Builds and ships machine-learning models and optimization algorithms (budget pacing, automated bidding) for DoorDash's ads platform and catalog/product knowledge graph, owning the end-to-end ML lifecycle from training through deployment, experimentation, and monitoring. Hybrid role using PyTorch, PySpark, and Snowflake.


Machine Learning Engineering Manager - Personalisation
Lead a team of ~12 ML engineers owning ranking, recommendation and personalisation systems across Deliveroo's ordering experience (store page, cart, upsell, checkout, bundling), hybrid 3 days/week in London. Requires production ML at scale plus people management across a team spread over London, Finland and Berlin.




Sr. Developer Advocate, AI and Machine Learning
A Senior Developer Advocate at Databricks engages with the Bay Area AI community to promote Databricks' AI/ML platform, creating demos, tutorials, and content around agentic systems (e.g., Genie Agents, MLflow) while bridging community feedback to product teams.
ML Engineer: Build Scalable, Data-Driven ML Solutions
Machine Learning Engineer in the Netherlands who designs predictive models and manages a robust data foundation, building scalable ML applications deployed on clients' data platforms using Python and ML frameworks such as scikit-learn, PyTorch, and TensorFlow.

Senior Machine Learning Engineer, Financial Products
Senior ML Engineer at Adyen (San Francisco, office-first) building and running credit-risk underwriting models and production ML systems for Financial Products (card issuing, credit, financing). Full lifecycle work — feature pipelines, training, deployment, monitoring — using Python/Java with Spark, TensorFlow/PyTorch, XGBoost, MLflow, Airflow and Kubernetes.
Machine Learning Engineer - 3D Vision & Perception
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other’s ideas stronger. That…
Sr. AI/ML Engineer II (6883)
Hands-on technical lead designing, building, and deploying production AI/ML solutions—including RAG and agentic AI—in classified AWS (IL6) environments. Core stack includes Python, TensorFlow, Scikit-Learn, and Postgres; requires an active TS/SCI clearance with CI polygraph and hybrid work in the D.C. metro area (Reston/Tysons Corner, VA).
Senior ML Engineer
AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work. Explorer…
Staff Data Product Manager (Machine Learning) - Canada
NerdWallet’s mission is to provide clarity for all of life’s financial decisions. Machine learning is how we get there at scale. It helps us understand our consumers, personalize their experiences, and connect them…
Staff Data Product Manager (Machine Learning)
NerdWallet’s mission is to provide clarity for all of life’s financial decisions. Machine learning is how we get there at scale. It helps us understand our consumers, personalize their experiences, and connect them…
Vice President Machine Learning and AI Products, Agentic and Automation
Why You’ll Actually Care District Partners is recruiting for an established leader in commercial finance that is reinvesting in itself in a big way, standing up a dedicated AI transformation team to build the next…
Senior Machine Learning Engineer (Growth)
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely…
Staff Software Engineer - AI/ML Platform
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.

Forward Deployed Engineer - AI/ML Platforms
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an…