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San Jose, California, United States
Onsite
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.
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
• 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.
Minimum Education Requirement: Master’s Degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Robotics or Informatics.
Special Requirements: Must be highly skilled with AI and ML frameworks, such as Pytorch or Tensorflow. Must have skills with debugging and determining requirements for AI models in terms of data, training and evaluation. Must have understanding of Transformer architectures, attention
mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, and mixture of experts.
Please apply online at: https://www.archer.com/careers. Must put job code SJ2026NZ on resume/CV and cover letter.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $195,000 to $204,750 per year.
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