Staff Artificial Intelligence Research Engineer (SJ2026KP)

Archer • San Jose, CA

5h • $237,500 - $249,375 • Onsite

About The Position

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.

Requirements

• Bachelor’s degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Informatics.
• 5 years of experience working in developing, evaluating, training AI models for audio or visual perception, language models, reinforcement learning, or related.
• Master’s degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Informatics.
• 3 years of experience working in developing, evaluating, training AI models for audio or visual perception, language models, reinforcement learning, or related was gained.

Responsibilities

• Design, implement, and evaluate novel machine learning and deep learning algorithms, with a specific focus on autonomy, trajectory prediction, and perception.
• Iterate on predictive and decision-making model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature related to agent behavior and environmental understanding.
• Conduct experiments to benchmark new techniques and evaluate model behavior in dynamic or simulated environments.
• Develop tools and frameworks to support scalable and reproducible research.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in Autonomy and Generative AI to identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior