Develop AI-based biomarkers using multimodal data including whole-slide images, clinical variables, and molecular data to predict patient outcomes and treatment benefit.
Contribute to self-supervised foundation models and downstream ML models such as multiple-instance learning, survival analysis, segmentation, and classification.
Improve model robustness and interpretability across scanners, institutions, and patient populations to build clinician trust.
Artera is an artificial intelligence company dedicated to transforming cancer care by developing foundation models that analyze clinical and pathology data to guide therapy selection. They value diversity and collaboration, offering a supportive remote culture with unlimited PTO and equity as core compensation.
Build cutting-edge personalization technology using deep learning and machine learning.
Partner across teams to improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
Use data-driven methods and LLMs to enhance content understanding and candidate retrieval.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. Its culture emphasizes inclusion, flexibility, and innovation, and it values bringing everyone the inspiration to create a life they love.
Drive development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable forecasting models, including deep-learning-based approaches, to predict company top-line metrics.
Lead the end-to-end ML lifecycle from problem definition through deployment and iteration.
Atlassian builds software products that help teams all over the planet collaborate and work together. With a distributed-first culture, Atlassians have flexibility in where they work, and the company is motivated by unleashing the potential of every team.
Develop deep learning models for feature matching, depth estimation, pose estimation, and image-to-map localization.
Own data preparation and supervision strategies, including dataset curation, labeling workflows, and quality checks.
Collaborate with state estimation and deployment engineers to integrate learned measurements into VIO and terrain-relative navigation systems.
This company builds autonomous systems that can understand motion and localize themselves when GPS is unavailable. Its engineering team works remotely, collaborating across deep learning, computer vision, and state estimation.
Develop and evaluate deep learning models for feature detection, matching, depth estimation, and visual localization.
Own data preparation, training workflows, and evaluation of learned components for vision-based navigation.
Partner with state estimation and deployment engineers to integrate and optimize models for onboard systems.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians, with products like Hivemind autonomy software and V-BAT aircraft. It has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, actively supporting operations worldwide.