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Build and optimize ML infrastructure powering self-improving AI systems across distributed training/RL, inference serving, and GPU kernels. Day-to-day work involves GPU scheduling, checkpointing, KV-cache and batching optimization, and CUDA/Triton kernel development alongside researchers.
Senior AI Product Manager at Firmus Technologies in Singapore, acting as the product-definition, delivery-planning, and release-execution lead for the AI & Applications team. Day to day this means owning the sprint-based roadmap for GPU cloud capabilities like workload orchestration, benchmarking, training/inference recipes, and agentic applications, using agile practices.
Job title: ML Engineer / Researcher, Large Language Models WORK AUTHORIZATION Must be authorized to work in the U.S.; we are unable to sponsor visas for this role. About Knowtex Knowtex is building the future of voice…
Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel…
Owns compute allocation for Thinking Machines' supercomputing resources: planning capacity with researchers and infrastructure engineers, resolving tradeoffs under constraints, improving GPU utilization and scheduling, and teaching teams to plan and use compute well. Requires a strong background in distributed systems, ML infrastructure, or HPC.
Staff-level, hands-on ML infrastructure engineer at Current, a consumer fintech in NYC, who owns the end-to-end ML stack: feature computation, training data, serving, and monitoring, so data scientists can ship models faster and reproducibly. Core tech: Python, SQL, JVM (Apache Beam/Dataflow), GCP (GKE, BigQuery), Airflow, dbt.
Overview We are seeking a Senior Machine Learning Engineer to design, train, and optimize generative models for multimodal scientific discovery. This is a hands-on technical role where you’ll work alongside a…
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
A senior technical leader on Pinterest's Product ML Infrastructure team, setting direction for large-scale model training and serving systems used by Ads and Core products. Day to day this means architecting distributed training, GPU-optimized inference, and feature/data infrastructure in C++, Java, or Python.
Niantic Spatial is hiring Summer 2027 software engineering interns in San Francisco to own real production work on one of three tracks: ML/AI infrastructure (PyTorch, distributed training, data pipelines), product engineering (APIs and product services), or backend systems (Go/C++ microservices) powering its physical AI, 3D reconstruction, and visual positioning platform.
Turn raw multi-camera footage into the 3D, verified datasets that frontier robotics labs train on. About Hub Hub is one of the fastest-growing data companies, providing real-world training data to the largest AI and…
Builds and ships diffusion and video generation models for Applied Intuition's Neural Simulation product, which turns real driving data into photorealistic, controllable simulation environments for autonomous vehicle development. Day-to-day is research-to-production ML work in Python/PyTorch, plus scaling training and building evaluation benchmarks.
Principal ML engineer leading large-scale training and post-training of Gaia, Wayve's generative video world model used as a closed-loop simulator for autonomous driving. Day to day: fine-tuning/aligning the model, pushing longer autoregressive rollouts, and deployment readiness, using PyTorch, diffusion/flow models and 3D vision, while mentoring and setting technical direction.
The role You will join Rivercell's team as a Senior Machine Learning Scientist , contributing to our work on AI virtual cells. You will develop and evaluate models, contribute to the technical roadmap, and work…
Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent…
Latitude AI () is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS…
Owns the strategy, roadmap and delivery of Radiant's MLOps and ML platform services on its GPU-powered neocloud — defining training, fine-tuning, deployment, inference and monitoring products. Partners with engineering on GPU orchestration, Kubernetes, storage/networking and developer tooling (APIs, SDKs, CLIs).
Lead a technical evangelism role for Databricks in London, partnering with high-growth startups to architect AI and data solutions, drive new business, and mentor engineering teams.
Ищем ML-инженера с сильным практическим опытом работы с LLM: fine-tuning, post-training, evaluation и inference. Важно: это не позиция классического ML Engineer / Data Scientist. Нужен кандидат, который самостоятельно…
Senior engineer who owns the health, reliability, and performance of Sciforium's GPU compute cluster in San Francisco — handling on-call incident response, Linux system/network administration, GPU node bring-up and driver/kernel work, and maintaining the ML stack (CUDA/ROCm, PyTorch, JAX, vLLM).
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