Principal AI Research Engineer

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.

Responsibilities

Design, implement, and evaluate novel machine learning and deep learning algorithms; Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment; Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature; Conduct experiments to benchmark new techniques and evaluate model behavior; Develop tools and frameworks to support scalable and reproducible research and development; Communicate research findings to leadership in a concise, and convincing manner; Stay current with the latest developments in AI/ML and identify relevant innovations; Assist in transitioning research prototypes into production-ready systems

Requirements

M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML; Enjoys solving less-defined and complex problems; Familiarity with good SW practices and development, including code quality, version control, etc.; Very strong with ML frameworks such as Pytorch, or Tensorflow; Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics; Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation; Is up to date with research literature and recent ML techniques and methodologies

Nice to have

Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus; Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus; Experience developing production AI models is a plus; Publications at top conferences are a plus