Staff 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. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success.

We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

What You’Ll Do

: As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for: 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. 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.

Requirements

for AI models in terms of data, training, and evaluation. Is up to date with research literature and recent ML techniques and methodologies.

Qualifications

: 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.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy.

, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs.

Responsibilities

and

Compensation

offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace.