Design rigorous experiments to test hypotheses and validate ML solutions, from setup through statistical analysis.
Lead end-to-end ML development including research, model training, and integration into business applications.
Translate complex technical concepts for stakeholders and track advancements in ML to improve promotional writing.
Netflix connects global stories with audiences worldwide through a streaming service offering TV series, documentaries, feature films, and games. We are a large, innovative company with a unique culture that values inclusion, creativity, and cutting-edge technology.
Own a multimodal ML work-stream from problem definition through deployment, translating clinical needs into clear ML objectives and building systems with transformers, self-supervised learning, and segmentation.
Design rigorous evaluations beyond offline metrics, partner with engineering to productionize models, and investigate failure modes like laterality errors and hallucination.
Communicate research findings clearly, mentor less experienced researchers, and contribute to the research roadmap by identifying promising approaches.
Rad AI is an AI-driven healthcare company revolutionizing radiology by saving time, reducing burnout, and improving patient care. With over $140M in funding, a valuation of $528M, and partnerships with thousands of radiologists, Rad AI is a fast-growing team of mission-driven innovators.
Generative media synthesis: building the models behind features like Video Regenerate, lipsync, and video translation — photorealistic video and audio synthesis as production research, not demos.
Zero-shot voice and roomtone cloning: realistic cloning from only a few minutes of reference audio.
Multimodal understanding: vision-language systems that let Descript's agentic editing features reason over visual and audio content, plus the evals that balance quality against cost and latency.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. They are a team of 150 with backing from top investors, and each new employee has a measurable influence on the company's direction.
Lead research and engineering to develop autonomous AI agents that set and execute complex goals.
Design and implement dynamic planning, memory, tool-use, and evaluation frameworks for safe agent behavior.
Collaborate with multidisciplinary teams to transition research into scalable, production-ready solutions.
Our partner is a large-scale healthcare environment focused on advancing autonomous AI systems. They are looking for a Lead Data Scientist to shape next-generation AI agents in a collaborative, remote U.S. team.
Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.
Experiment with modern neural network architectures and techniques driven by research
Design and implement machine learning perception solutions in new domains
Collaborate with AI Data Team, ML engineers, and Cloud infrastructure engineers
AMP applies AI-powered sortation to modernize recycling infrastructure and maximize waste value. Recognized as a top workplace in Colorado, AMP has hundreds of global deployments and is backed by top-tier investors.
Support training, fine-tuning, and evaluation of neural foundation models.
Build and maintain data pipelines for petascale neurobehavioural datasets.
Prototype tools and demos to apply trained models to robotics and embodied AI tasks.
Netholabs builds AI grounded in biological intelligence by recording petascale neurobehavioural data to train neural foundation models. They are a small, fast-moving research team focused on AI, robotics, and personalized intelligence.
Assist in neurobehavioural recording and dataset annotation for model training.
Review and synthesize neuroscience literature to inform model features and experiments.
Analyze neural and behavioural data with Python and PyTorch to support model development.
Netholabs builds AI grounded in biological intelligence by recording petascale, high-resolution neurobehavioural data and training neural foundation models. They are a research-focused company with a collaborative culture.
Design and implement model-based RL agents and planning controllers for real industrial systems.
Develop learned world models and training pipelines to make control agents reliable and safe.
Work closely with researchers and engineers to translate cutting-edge RL research into production outcomes.
Phaidra builds AI-powered control systems for industrial facilities, using reinforcement learning to help them learn and improve over time. The company is a fully remote, international team with roots at DeepMind and Google, and values Agency, Velocity, Craft, and Truth.
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.