Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
Grow the teams by attracting and hiring great Data and ML talent
Overstory is harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving. Their team spans the Americas and Europe, and they work with utility partners across the Americas and beyond, with 100 employees. They are outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers—15 nationalities strong and growing.
Take ownership of and improve the model training and deployment pipeline using DVC and GCP using our Python data science SDK.
Actively contribute to ongoing analyses, including calibrations, pilot studies, error analyses, and model performance investigations, and translate findings into concrete improvements.
Improve the standards, tooling, and monitoring needed to ensure Eli’s models are robust, traceable, and operationally trustworthy.
Eli Health is enabling continuous hormone monitoring, empowering users to support their daily and long-term health with instant results. As a small team of fewer than 25 employees, they foster a high-performing, diverse environment where individual contributions significantly impact the company's trajectory.