Top Tech Jobs & Startup Jobs in Seattle, WA

The role involves developing and maintaining robotic control stacks, managing sim-to-real pipelines, and collaborating with researchers on robotic learning projects.

Own the real-time control stack for physical robots, including arms, hands, bimanual systems, and humanoids. Develop and tune torque-level and whole-body controllers, enable sim-to-real transfer, and lead robot setup, calibration, maintenance, and debugging. Design custom hardware such as end-effectors and test rigs, build teleoperation and monitoring tools, and collaborate with research and simulation teams. Contribute to open-source robotics software and publications.

Conduct AI research on open foundation models such as Olmo and Molmo. Interns define and lead research projects, train and release models, build open-source research software, collaborate with mentors and researchers, and publish scientific papers. The 12-week internship is conducted onsite in Seattle and is open to doctoral candidates and master's or undergraduate students with strong research backgrounds.

Conduct AI research focused on agentic systems, scientific discovery, literature understanding, human-AI collaboration, continual learning, and model specialization. Interns will collaborate with Ai2 researchers, build systems or models, and author papers for leading AI, NLP, HCI, ML, and information retrieval conferences. The 12-week internship is based in Seattle and requires PhD enrollment, relevant research experience, AI publications, and strong software engineering skills.

Conduct AI and robotics research under mentorship, including building AI systems, developing datasets and benchmarks, reading scientific literature, and running experiments with real-world robots. Interns may work on foundation models, robot skills, simulation, robot control, reinforcement learning, world models, and agentic robotics systems. The role is a 12-week, full-time internship based in Seattle and intended primarily for PhD students.

Develop an open-source AI-powered, physics-informed climate model for improved multidecadal forecasting. Adapt NeuralGCM training pipelines for Google Cloud and NVIDIA GPUs, document and distribute code, couple the model with an ML ocean model, test performance in unseen climates, collaborate through software engineering practices, and create tutorials for the climate modeling community.

Lead research and evaluation of an AI-powered, physics-informed climate model designed for accurate multidecadal forecasts. Develop training and testing cases, implement model improvements for generalization to unseen climates, couple atmospheric, oceanic, land, and sea-ice systems, publish findings, contribute open-source code, collaborate with researchers, and mentor interns.

Develop an AI-powered, physics-informed hybrid climate model for accurate multidecadal forecasting. Responsibilities include coupling NeuralGCM with an ML ocean model, designing physically constrained learning approaches, testing model performance in unseen climates, publishing research, contributing to open-source code, collaborating with climate scientists and engineers, and mentoring postdocs and interns.

Own product strategy and execution for Asta, an agentic scientific research platform, including engineering frameworks, data infrastructure, public APIs, benchmarks, and compliance. Translate researcher needs into requirements and roadmaps, drive adoption, coordinate engineering workstreams, and maintain the Semantic Scholar platform for millions of users. Partner across research, engineering, legal, and leadership while shaping product management practices.

Lead research and scientific development for fully open foundation models focused on scientific discovery. Build and train modern foundation models, develop training pipelines, curate high-quality data, and investigate agentic and multimodal training. Provide scientific leadership, lead small teams, oversee research software systems, publish and present peer-reviewed work, and build collaborations with academic, industry, government, and standards organizations.