Flyte Jobs
3 open roles mentioning Flyte
Software Engineer - ML Infrastructure
Anduril Industries
Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. Our core Lattice platform integrates sensors to provide real-time situational awareness. As a Software Engineer on the ML Infrastructure team, you will develop the core systems and infrastructure that perception engineers use to field autonomous edge systems. This includes developing data management systems for perception and autonomy, model training/orchestration systems, and an internal perception platform for data querying, model training, and evaluation.
$166k - $220k
Research Engineer - AI/RL Infrastructure
Applied Intuition
Applied Intuition is seeking a passionate Research Engineer specializing in AI/RL Infrastructure to join our Research Group. This role is perfect for engineers who excel at designing, building, and operating large-scale machine learning systems and enjoy collaborating with researchers to accelerate the development of next-generation physical AI systems. Our Research Group is dedicated to creating cutting-edge technology for challenging applications like end-to-end autonomous driving and robotic generalism, supported by industry-leading tools and infrastructure that provide access to vast datasets and enable deployment of developed methods into various autonomous and robotic systems. Improvements made to our system directly benefit our customers and our business.
$126k - $423k
Senior Software Engineer - ML Infrastructure
Applied Intuition
Applied Intuition is seeking infrastructure engineers with expertise in machine learning pipelines and ML engineers who want to work beyond modeling to join the Data & ML infra group. This role will span the entire ML lifecycle, from dataset generation and training frameworks to compute, evaluation, and deployment, working directly with modeling teams. The team is ideal for individuals excited by broad, ambiguous problems and eager to develop across the entire ML stack. At Applied Intuition, engineers are encouraged to take ownership of technical and product decisions, engage closely with users for feedback, and contribute to a dynamic team culture.
$215k - $285k