Remote Software engineering Jobs • Deep Learning

As Ideogram’s first Applied ML Engineer, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment quickly, build rigorous evaluations and datasets, and partner with research, engineering, infra, and product to ship reliable and scalable ML systems.

Raise the technical bar for the team by setting architectural direction. Design, build and scale robust, high-throughput, low latency recommender systems that power product features used by tens of millions of users every day. Collaborate cross-functionally to shape ML-driven product roadmaps, balancing speed of iteration with long-term system complexity and scalability.

As an AI/ML Engineer Intern, you’ll have the opportunity to work with the AI team for Second Dinner. You’ll report to the Associate Director of AI, focusing on identifying and building applications for emerging AI technologies from ideation and research to prototyping and development.

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.