Play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate in the mobile app industry.
This role emphasizes building and shipping new software features via modern, high-leverage AI/ML approaches, such as parameter-efficient fine tuning of large foundation models. You will gain understanding of the unique data assets available at Constant Contact, and identify corresponding value-add through AI/ML models and applications. Collaborate with PMs and Engineering leadership to understand business needs, and design and implement technical solutions.
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.
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.
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.
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.
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.
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.