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A 10-week paid summer 2027 internship (June–August) at Veeam's San Jose office for students entering their final year (Master's/PhD), training and diagnosing ML models, doing LLM/generative-AI research, and building experimentation tooling with PyTorch/TensorFlow. In-office 5 days/week; hourly pay $40–$50.
Everseen: A leader in vision AI solutions for the world’s leading retailers. The Role At Everseen, we are scaling the global ML Platform powering our computer vision lifecycle. As a Senior SDE III, you will design and…
Everseen: A leader in vision AI solutions for the world’s leading retailers. The Role As a Technical Program Manager (TPM) in AI, you will operate at the critical intersection of cutting-edge research, advanced…
We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Platform Engineer, Distributed Training based in the United States. Join a…
Lead ML systems for Roblox’s virtual economy, building large-scale recommendation, ranking, and generative AI pipelines that power personalized experiences across Marketplace, Payments, and Avatars.
Principal ML Infrastructure Engineer at Roblox builds and scales the machine learning systems that power ads and discovery for hundreds of millions of users, using large-scale training, inference, and feature pipelines.
AI Infrastructure Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Job Description WHAT WE DO: At Goldman Sachs, our Engineers don't just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing…
Owns and operates ElevenLabs' NVIDIA GPU cluster infrastructure that powers AI model training — provisioning, scheduling (Slurm), automation, drivers/CUDA/NCCL, InfiniBand networking, storage, and hands-on hardware work. Expect a mix of writing automation in Python/Bash with IaC and on-site racking, benchmarking, and debugging at scale.
AI/ML engineer at Conviva, whose platform measures quality of experience for streaming video and AI agents. The role owns the end-to-end ML lifecycle — data prep, model design, training, evaluation, and iteration — applying deep learning, reinforcement learning, and LLM fine-tuning using Python and frameworks like PyTorch/TensorFlow.
Moonlake, a seed-funded AI startup in San Francisco building interactive 3D world models for robotics and embodied AI, seeks a Member of Technical Staff to lead post-training infrastructure: building RL pipelines, fine-tuning, reward modeling, and scalable multi-GPU training systems for vision-language and code-generating agents.
Builds and scales the compute, scheduling, data, and evaluation infrastructure powering RL post-training research on large language models, including LLM inference/training systems, internal tooling, and monitoring/debugging systems. Core stack spans distributed systems on AWS/GCP with Kubernetes, ML frameworks like PyTorch/JAX, and RL training frameworks such as veRL and Ray.
A PhD machine learning summer internship at Waymo (hybrid onsite, Mountain View) working on reinforcement learning post-training, generative world models, and closed-loop multi-agent simulation for autonomous driving. Day-to-day involves designing RL and distillation algorithms, building reward models and realism critics, running large-scale ablations on TPUs, and writing production JAX code.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Hands-on senior AI Data Scientist at Conga researching, building, and deploying the NLP, ML, and Generative AI (LLM, RAG, fine-tuning) capabilities behind its revenue lifecycle management platform, which turns contracts, quotes, and agreements into insight. Expert Python/PyTorch work spanning experiments to production at scale.
Senior ML Engineer builds and scales systems to evaluate autonomous driving behavior using large-scale models, simulation, and distributed training in Mountain View.
Senior engineer building AI/ML infrastructure for autonomous-driving simulations, scaling multi-billion-parameter foundation models on large distributed systems.
Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
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