Shape how millions of drivers interact with Samsara on the road as an Edge AI engineer passionate about developing and optimizing ML models for highly constrained embedded environments. You will bridge the gap between research and production by deploying efficient, reliable, and scalable AI models that power the next generation of Samsara’s in-vehicle intelligence. In this role, you will design, optimize, and deploy computer vision and multimodal ML models.
We are seeking a highly motivated Machine Learning Engineer to join our HD mapping team. The ideal candidate will develop learning-based algorithms for online map building in both well-maintained road environments and challenging construction zones. You will leverage cutting-edge deep learning and transformer-based architectures to improve our real-time mapping and perception systems, which serve as the foundation for safe and scalable autonomous driving.
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. Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.
Focus on building applications to enable more real world impact and highest usage for the world. This is a remote role based in Indonesia, working closely with our HQ in Malaysia and cross-functional regional teams. You’ll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.
You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. You'll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.
As the Principal ML Engineer, you'll be the technical visionary for personalization and optimization systems. This individual contributor role requires a deep technical expert to define ML architecture, solve technical challenges, and influence ML strategy across the company. You will design company-wide personalization architecture and strategy, research and implement state-of-the-art ML techniques, and define standards and patterns used across all ML teams.
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. Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.
This position is at the cutting-edge of machine learning and software engineering and you will be responsible for designing and developing machine learning applications for our growing client base. You should have strong programming skills and professional experience in Machine Learning, Computer Vision, Natural Language Processing, or Deep Learning. You will join a team of experienced engineers and entrepreneurs bringing practical AI solutions to the market.