Archer seeks a Principal AI Research Engineer to design, implement, and evaluate novel machine learning and deep learning algorithms for all-electric aircraft. The role involves developing AI models, collaborating on research, and transitioning prototypes to production. Requires an MS/PhD in CS/CE with strong AI/ML background, expertise in PyTorch/TensorFlow, and knowledge of transformer architectures and multi-modal models. Bonus qualifications include reinforcement learning, VLA models, and publications.
Responsibilities
Design, implement, and evaluate novel machine learning and deep learning algorithms.
Iterate on AI model development from data to deployment.
Collaborate with researcher engineers to prototype and validate solutions from academic literature.
Conduct experiments to benchmark new techniques and evaluate model behavior.
Develop tools and frameworks for scalable and reproducible research.
Communicate research findings to leadership.
Stay current with AI/ML developments and identify innovations.
Assist in transitioning research prototypes into production-ready systems.
Requirements
M.S or PhD in Computer Science or Computer Engineering with strong emphasis on AI and ML.
Familiarity with good software practices, including code quality and version control.
Very strong experience with ML frameworks such as PyTorch or TensorFlow.
Archer Aviation is an aerospace company developing electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility networks. Its mission is to transform urban travel by providing safe, sustainable, and cost-effective air taxi services.
Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and related topics.
Strong ability to debug and determine AI model requirements for data, training, and evaluation.
Up to date with research literature and recent ML techniques.
Nice to Have
Experience with Reinforcement Learning, self-supervised training, and imitation learning.
Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility.