Senior AI Research Engineer - (SJ2026NZ)
About this role
Engineers who thrive on tackling difficult problems and advancing aerospace technology will find a strong fit at Archer. Headquartered in Silicon Valley, the company builds advanced air mobility platforms, including air taxis, unmanned aircraft systems, and physical AI solutions for commercial aerospace and defense.
This role sits within a specialized engineering team focused on creating novel machine learning and deep learning algorithms for autonomy, trajectory prediction, and perception. The person in this position will handle the entire lifecycle of predictive and decision-making models, from determining data requirements and training architectures to deployment and transition into production-ready systems.
Archer values workplace diversity and is dedicated to fostering an equitable environment that supports all team members. Joining this team offers the chance to work on complex autonomy challenges and shape the future of aviation technology.
What you will do
- Design, implement, and evaluate novel machine learning and deep learning algorithms with a focus on autonomy, trajectory prediction, and perception.
- Manage the complete development lifecycle of predictive and decision-making models from data collection and architecture design to deployment.
- Collaborate with research engineers to prototype and validate complex solutions derived from academic literature on agent behavior and environmental understanding.
- Conduct experiments to benchmark new techniques and analyze model behavior within dynamic or simulated environments.
- Build tools and frameworks that enable scalable and reproducible research outcomes.
- Communicate research findings clearly and concisely to leadership.
- Monitor developments in autonomy and generative AI to identify and apply relevant innovations.
- Assist in the transition of research prototypes into production-ready systems.
What you need
- Must hold a Master’s Degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Robotics, or Informatics.
- Must possess high proficiency with AI and ML frameworks such as PyTorch or TensorFlow.
- Must have proven skills in debugging and determining AI model requirements regarding data, training, and evaluation.
- Must understand Transformer architectures, attention mechanisms, multi-modal foundation models, and diffusion policies.
- Must be familiar with fine-tuning, model distillation, and mixture of experts.
Skills and tech stack
Questions candidates ask
What is the compensation for this role?
For this position Archer is offering $195,000 to $204,750 per year. The salary is clearly defined within this specified annual range.
What technical skills are required?
Candidates must be highly skilled with AI and ML frameworks such as PyTorch or TensorFlow. Additionally, the role requires an understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, and mixture of experts.
Where is the company located?
Archer is headquartered in Silicon Valley, California. The physical work location for this posting is in San Jose, California, United States.
How should I apply for this position?
Applicants can apply online through the company careers page. Candidates must include the job code SJ2026NZ on their resume, CV, and cover letter.