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Builds and optimizes real-time machine learning pipelines and models for a programmatic advertising platform, handling billions of requests per second to improve ad targeting and performance.
Senior Staff ML Engineer on Reddit's Notifications Relevance team, designing and building large-scale end-to-end recommendation systems that personalize push, email, and in-app notifications. Day to day spans retrieval, ranking, budget optimization, feature/measurement work, and LLM integration using Python, Golang, and PyTorch/TensorFlow.
The Staff Machine Learning Engineer will lead the development of safety-critical, end-to-end driving models for autonomous vehicles using large-scale data and transformer-based architectures. This role involves setting technical strategy, conducting research, and collaborating across teams to improve model robustness and performance in real-world driving scenarios.
Staff Machine Learning Engineer who will be the single technical owner of Taskrabbit's core ranking/matching system — defining architecture, model design, retraining/reliability pipelines, and debiasing while mentoring engineers and partnering with Product, Data Science, Risk, and Commerce. Stack includes Python, SQL, PyTorch/TensorFlow/LightGBM, Kafka, Airflow, Snowflake/BigQuery, Kubernetes, and
Develops and deploys machine learning models for autonomous vehicle perception systems, focusing on 3D object detection and sensor fusion using PyTorch/TensorFlow.
Designs and builds large-scale search and ML systems for a sports betting platform, focusing on real-time personalization, relevance ranking, and vector search to power discovery experiences.
Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction…
Staff-level individual contributor ML scientist at Monzo leading the design and shipping of advanced real-time fraud and financial crime detection systems using deep learning, graph and sequence-based models over billions of rows of data. Works in Python and SQL daily, mentors other ML practitioners, and steers FinCrime ML strategy with senior stakeholders.
Technical Lead for Machine Learning at an AI-native product startup, owning end-to-end production ML systems: data pipelines, fine-tuning (LoRA, QLoRA, SFT, DPO, distillation), scalable inference, GPU optimization, and evaluation. Core stack is Python with PyTorch/JAX on GPU-based training and inference infrastructure.
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of…
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for…
Company: Project X Ltd. Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$150,000K CAD About Project X Ltd. Project X Ltd. builds high-performing teams of…
Staff ML Engineer at Hand Talk (by Sorenson) builds the shared infrastructure, workflows and tooling ML researchers need to iterate fast — reproducible experiments, CI/CD, GPU clusters and distributed training. Core stack: Python, Linux, Docker, Kubernetes, AWS, Terraform, PyTorch.
Staff-level engineer working on machine learning for Marqo's open-source search engine, which uses ML models to improve search relevance. The role is hands-on ML and software engineering based in Marqo's Melbourne engineering hub (startup HQ'd in San Francisco).
Staff ML Engineer in ServiceNow's Security and Risk Engineering org, owning a major subsystem (probability core, exposure graph/entity resolution, or calibration loop) of a new exploitability engine end-to-end, from design to production at scale. Work centers on LLM/agentic and probabilistic ML systems built with Python, Java, Go, or TypeScript on cloud-native distributed infrastructure.
Senior Staff ML Engineer on ServiceNow's Security and Risk Engineering team, owning end-to-end architecture of a novel zero-to-one exploitability engine that ranks security exposures by realistic attack-path probability. Core work spans LLM/agentic systems, probabilistic graph modeling, and cloud-native distributed systems built with Python/Java/Go.
Come and help defend the nation in cyberspace! In the Cyber Operations & Analysis Technology Group at MIT Lincoln Laboratory, we research challenging technical problems in cyber security, develop new technologies,…
Staff ML Engineer on Okta's GenAI team, architecting and deploying production ML/GenAI systems including LLM-powered features, RAG workflows, and agentic applications using Python, Claude-based systems, and cloud AI platforms.
Senior hands-on ML role at tem (fully remote, UK-based) owning the pricing engine within Rosso, the company's electricity transaction platform. You build ML systems that set customer fees by balancing sign-up probability, portfolio risk and margin, using probabilistic modelling, stochastic optimisation and production-grade Python.
Staff ML engineer who owns Deliveroo's migration of its ads product from cost-per-click to cost-per-order bidding: designing goal-based bidding (Target CPO, optimised CPC, Target ROAS) and yield management in Python, and setting technical direction while partnering daily with DoorDash's US team.
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