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Lead and grow a founding team of data platform engineers in Lisbon, focusing on self-service data replication (CDC, snapshots) from Postgres/ScyllaDB to BigQuery. You will hire engineers, set technical roadmaps, and contribute to architecture for a high-scale social platform used by millions of gamers.
Senior ML engineer on Torc's Tracking team, designing and deploying production multi-object tracking and sensor-fusion models (camera, LiDAR, radar) for autonomous trucks. Day-to-day spans building PyTorch training/evaluation pipelines, developing tracking and state-estimation algorithms, and shipping robust C++/Python production software.
Senior ML engineer at Hadrian, which builds autonomous factories for aerospace & defense manufacturing, developing deep-learning systems for Design for Manufacturing analysis. Day to day you research and deploy OCR, vision-language, and detection models for document/CAD understanding and own the full ML lifecycle (data pipelines, training, inference, evaluation) using Python, OpenCV, SQL, and PyTo
Senior Solution Engineer – GPU & AI Infrastructure About Civo: Civo is a high-performance neocloud provider purpose-built for the demands of modern AI, high-performance computing (HPC), and cloud-native…
PhD-level ML research co-op (Jan–Aug 2027, full-time onsite in Palo Alto) on Rivian's Autonomy team, researching neural scene reconstruction and world modeling — NeRF, 3D Gaussian splatting, novel view synthesis — from multi-sensor driving data, using Python/PyTorch and distributed multi-GPU training to support autonomous-driving model development.
Builds and operates the ML training and inference infrastructure behind Zipline's autonomous drone delivery platform — data ingestion, dataset management, distributed training, evaluation, and deployment pipelines. Core stack includes Python, PyTorch, Kubernetes, and AWS with infrastructure-as-code.
Designs, scales, and optimizes the GPU infrastructure behind large-scale generative AI/ML models in production — building NVIDIA GPU clusters for training and low-latency inference with Triton, vLLM, and TensorRT. Core stack: PyTorch, CUDA, Kubernetes/Docker, AWS/GCP, and Terraform, in a hybrid/on-site role in New York or San Francisco.
Senior/Staff Machine Learning Engineer owning production ML systems and MLOps platform infrastructure for Attain/Klover's B2C fintech products (EWA, fraud, churn, decisioning). Day to day: building feature pipelines, model serving, CI/CD, and observability on GCP + Kubernetes with Terraform, and directing AI coding agents to ship infrastructure code.
Senior Machine Learning Engineer at Graphcore optimizes AI models for specialized hardware, scales them across thousands of accelerators, and collaborates with research and software teams to advance AI compute technology.
Research engineer at Graphcore designs and implements AI/ML experiments, optimizes models for hardware efficiency, and publishes findings to advance AI compute technology.
Designs and scales ultra-high-bandwidth, low-latency data center networks for AI workloads, focusing on RDMA, Clos fabrics, and automation.
Senior ML engineer on Graphcore's Applied AI team, implementing, training, and optimising state-of-the-art AI models (PyTorch/JAX, Python/C++) to run at scale across thousands of Graphcore accelerators — including kernel development, benchmarking/profiling, and distributed training and inference.
Senior ML Infrastructure Engineer on Reddit's ML Platform team, building and scaling the infrastructure behind recommendations and content discovery. Day-to-day work spans MLOps lifecycle design, graph ML platform development, distributed GPU training optimization, and large-scale batch data pipelines using Python, PyTorch, Ray, Kubernetes, Spark, and GCP.
Reddit is hiring a Staff ML Systems/Infrastructure Engineer to build and lead the platform powering large-scale ML: MLOps lifecycle tooling, a graph ML codebase, GPU training performance tuning, and pipelines for graph data with billions of nodes. Core stack includes Python, PyTorch/TensorFlow, Ray, Kubernetes, GCP (BigQuery, GCS), Terraform, and Apache Beam/Spark.
Reddit is hiring a founding Staff Machine Learning Engineer on its AI Security team to lead the design, training, evaluation, and deployment of ML models that detect AI-related risks like prompt injection and jailbreaks. Day-to-day involves hands-on model development on Reddit's LLM Guardrails Platform using Python, PyTorch/TensorFlow, and distributed training pipelines, plus technical leadership
Builds the infrastructure, tooling, and optimization systems that let Reddit's ML engineers train, evaluate, deploy, and serve models efficiently — improving GPU utilization, cutting infrastructure costs, and speeding up experimentation. Core stack: Python, systems languages, distributed training frameworks, and GPU/serving platforms.
Staff ML Engineer at Plenful sets the technical direction for production AI agents that automate healthcare back-office work, staying hands-on as an IC: owning LLM/VLM post-training, evaluation strategy, and MLOps. Core stack: Python, PyTorch, LangGraph, RAG/vector search, vLLM, Docker, Kubernetes, MLflow.
WHY NOETIK NOETIK is a frontier therapeutics company harnessing AI to deeply understand human biology and redefine clinical outcomes in oncology. Leveraging the largest proprietary multimodal oncology dataset of its…
Senior Sales Engineer partnering with Account Executives to drive technical strategy and adoption of Datadog's observability and security platform. Key responsibilities include leading technical evaluations (POVs), delivering product demos, and navigating complex enterprise environments using technologies like AWS, Azure, GCP, and Kubernetes.
Job title: Machine Learning Engineer – Lumen Enterprise Models (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Reports to: CEO Compensation: Salary and Equity options available…
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