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Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.
Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices. Select, implement, and develop the most appropriate method for each problem. Enhance internal deep learning and machine learning tools to boost team efficiency. Support client-facing projects to understand and shape the impact of Beacon algorithms.
We’re looking to an AI engineer to join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. The AI Engineer will design and build AI prototypes through hands-on experimentation and testing.
Ads Targeting ML engineers design and implement ML systems and solutions for improving targeting products. As a staff machine learning engineer in the ads targeting quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.
The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.
Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving. Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail. Be exposed to many cross-team projects and collaborate with other teams.
This is a high impact role where you will own projects from ideation to production, working with our super-talented cross-functional team. You'll closely collaborate with product and design stakeholders, and be responsible for the engineering architecture and execution of key product features. You will also identify opportunities to use, configure, and deploy ML models and/or LLMs to create or improve product features. You will provide technical direction to junior engineers.