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.
Develop and deploy advanced ML models for illness detection using time-series analysis from wearable health data.
Drive commercialization of algorithms in collaboration with cross-functional teams including scientists, product managers, and engineers.
Independently conduct exploratory research to identify novel health sensing features, scoping projects from concept to scalable products.
Oura empowers individuals to own their inner potential through their award-winning Oura Ring and app, providing insights on sleep, activity, and readiness to over 2.5 million users. They foster a supportive, inclusive culture with core values guiding their team, and have offices in San Francisco and San Diego.
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.
Assess AI-enabled systems against regulatory requirements, standards, and conformity criteria.
Support clients and internal teams with AI/ML expertise and practical guidance.
Develop methodologies, tools, and training for AI conformity assessment.
This company focuses on the assessment of AI-enabled products and software across regulated industries, including medical devices and robotics. They operate in a global, multidisciplinary environment with a culture centered on trust, safety, and responsible AI adoption.
Build deep-learning models on market data from raw data to production.
Own the entire ML pipeline including infrastructure, evaluation, and reproducibility.
Work closely with traders and researchers in a live trading operation.
Deeter Analytics is a privately held investment research and trading firm that manages its own capital across public markets. It is a small, fully remote team with a low-ego culture.
Design, develop, train, and evaluate machine learning models for interpreting complete CT studies.
Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
Develop vision-language models connecting medical images with radiologist terminology and reporting patterns.
Our partner is a research-driven team building next-generation AI models to understand complete CT studies. They work with a dataset of approximately 10 million patients and collaborate with fellowship-trained radiologists across multiple specialties.
Develop new vegetation intelligence products using geospatial Python and ML/DL techniques.
Maintain and improve existing products through data exploration and model optimization.
Lead projects end-to-end, from planning through delivery, and communicate value to stakeholders.
The company uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks. The team spans the Americas and Europe, fostering a mission-driven culture.