Work with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Apply advanced analytics and machine learning techniques to drive data-driven decision-making.
Job listings
Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. Collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. 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.
$272,000–$306,000
USD/year
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.
Drive applied research into LLMs and agentic systems, rapidly prototyping, validating, and shipping production-ready capabilities. Stay hands-on with the latest advances in foundation models, LLM-as-a-judge, agentic frameworks & tools, and move fast to bring them into the product. Leverage emerging technologies and a team of legal experts to improve the intelligence and autonomy of our agents.
US
Unlimited PTO
Seeking an experienced Computer Vision Engineer to build object detection systems and collaborate with cross-functional partners, contributing to the technical vision for computer vision initiatives. This role is perfect for engineers who are passionate about solving complex computer vision challenges and have strong experience deploying object detection models in production. You'll build detection systems that work across a wide range of infrastructure.
$150,000–$195,000
USD/year
Bridge the gap between complex technologies and real business needs as an AI Technical Lead by acting as a hands-on implementation specialist and a pre-sales technical expert. Collaborate with the demand team to help them understand and explain AI to potential clients, while also delivering billable technical solutions on client projects.
$161,925–$247,000
USD/year
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment.
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.
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.