Play a key role in building and enhancing the computer vision capabilities for the Farsight product. You will work on critical software that has a real-world impact, collaborating across teams to define and execute the technical roadmap for our products. The ideal candidate brings a deep background in Computer Vision and excellent C++ skills.
Play a key role in building and scaling AI systems. This role combines senior-level engineering depth with team leadership, reporting directly to our Head of AI. You’ll be both an individual contributor and a technical mentor, working hands-on with models while also guiding junior engineers and contributing to the team's growth.
Provide technical leadership and direct contributions in AI/ML model design, development, and deployment. Architect scalable AI solutions using deep learning, generative AI, and ML Ops pipelines suitable for operational DoD environments. Serve as technical hands-on quality control, ensuring AI architectures are sound, secure, and scalable.
We're seeking Machine Learning / AI Engineering Co-ops for a full-time, 4-month term (January–April 2026). As a co-op, you will join a team focused on challenges at the intersection of scale, intelligence, and reasoning, contributing to the development of next-generation AI models and agentic frameworks for scientific discovery. This remote role can be based anywhere in Canada.
Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. The work ensures models are not only intelligent, but also safe, trustworthy, and impactful at scale. Train and customize diffusion models using LoRA, DreamBooth, and other parameter-efficient methods. Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
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.
Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.
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.
You will own core components of our instant shopping personal intelligence, leveraging our unparalleled delivery speed. You’ll design context engineering strategies and real‑time retrieval, build SFT pipelines, and implement reinforcement learning. You’ll use relevant APIs for data augmentation and ship low‑latency, reliable inference with strong observability and safety.
In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization, building the ML software and infrastructure that drives ad performance and user engagement at scale. Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience.