Research Scientist / Engineer Jobs

Join Luma AI in Palo Alto as a Research Scientist/Engineer to architect the reasoning core of multimodal AI. Drive foundational research on scaling laws, long-context training, and unified modeling for products like Dream Machine. Requires a PhD/MS in CS/ML/Physics, first-principles intuition, an...

Plaid seeks a Senior Machine Learning Engineer (Research Scientist) to join its Data Foundation & AI team in Seattle. You will lead applied research on a unique foundation model, designing architectures and training strategies using one of the world's richest financial datasets. This role demands...

Join a foundational team in Palo Alto to define the future of multimodal AI. Architect and train large-scale agentic models using PyTorch for reasoning, planning, and tool calling. Bridge cutting-edge research with shipped products, working end-to-end on novel problems with massive datasets.

Join Scale AI to advance generative AI as a Research Scientist. You'll develop novel post-training methods like RLHF to enhance LLM and multimodal model alignment. Collaborate with top AI labs in San Francisco, Seattle, or New York. Enjoy comprehensive benefits, equity, and a role at the forefron...

Join a foundational team in Palo Alto to shape the future of multimodal AI. You will architect, train, and evaluate large-scale agentic models, blending cutting-edge research with product development. This role requires strong ML fundamentals, PyTorch expertise, and hands-on experience with large...

Lead applied research to develop next-generation fraud detection models at Plaid. Utilize large-scale financial data and advanced techniques in graph ML and multimodal learning. This San Francisco role requires a PhD or strong research background to ship impactful solutions from prototype to prod...

Lead applied research to develop next-generation fraud detection models at Plaid. You will own the full ML lifecycle, leveraging unique network data across graphs, sequences, and multimodal learning. This role requires a PhD or strong research background, Python expertise, and a focus on shipping...

Shape the future of creative AI as a Research Scientist/Engineer in Palo Alto. Develop large-scale multimodal generative models for video and audio, from architecture to training. Apply your expertise in ML, PyTorch, and large-scale systems to solve novel, foundational problems. Bridge cutting-ed...

Join Luma's Post-training team in Palo Alto to refine cutting-edge generative AI models. You will optimize image/video models using fine-tuning and RL techniques like DPO. This role requires a Master's/PhD and deep expertise in large-scale model training (e.g., Diffusion, LLMs). Drive model align...

Join us in Palo Alto to pioneer the future of AI as a Research Scientist/Engineer. You will define next-generation multimodal capabilities, fusing vision, audio, and language. We seek a PhD with deep PyTorch expertise and a proven track record in ambitious, open-ended research. This is a high-imp...

Join Luma's Performance Optimization team in Palo Alto. We seek an expert in Triton/CUDA, PyTorch, and GPU profiling to optimize AI model efficiency. You will develop high-performance kernels and optimize transformer architectures for scalable deployment. Ideal candidates have deep hardware knowl...

Join Luma's Realtime Interactive team in Palo Alto to pioneer the next generation of generative content. You will fine-tune and optimize large-scale multimodal models for realtime, interactive applications. This role focuses on solving challenges in autoregressive visual generation and latency-co...

Join Luma's Pre-Training/Scaling team in Palo Alto to build core multimodal AI systems. Lead cutting-edge research in generative models across video, image, text, and audio. Apply your deep expertise in PyTorch, large-scale distributed training, and novel architecture design. Shape the future of ...

Join Luma AI in Palo Alto to build multimodal foundation models. Design and optimize distributed PyTorch training systems across thousands of GPUs. We seek experts in CUDA, NCCL, and advanced parallelization techniques. Help scale cutting-edge AI from the ground up.