Senior AI Research Engineer - (SJ2026NZ)

AlleyCorp; San Jose (CA); On-site; USD 195,000 - 205,000; Full time

Job summary

Archer seeks a research-focused ML engineer to design and evaluate autonomy, trajectory prediction, and perception models for its next-gen air mobility platform. You will collaborate with research teams to prototype from literature, benchmark new approaches, and bridge research to production.

The role requires a Master's in a related field, deep experience with PyTorch/TensorFlow, and expertise in transformers, diffusion models, and Mixture of Experts. Visa sponsorship may be available.

Qualifications

• Minimum Education: Master’s Degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Robotics or Informatics.
• Must be highly skilled with AI/ML frameworks such as PyTorch or TensorFlow, and with debugging and defining data/training/evaluation requirements.
• Knowledge of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, and mixture of experts.

Responsibilities

• Design, implement, and evaluate machine learning and deep learning algorithms focusing on autonomy, trajectory prediction, and perception.
• Iterate on predictive and decision-making model development from data to training, architecture, and deployment.
• Collaborate with research engineers to prototype solutions from academic literature and validate them.
• Conduct experiments to benchmark 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 concisely and convincingly.
• Stay current with Autonomy and Generative AI developments to identify innovations.
• Assist in transitioning research prototypes into production-ready systems.

Skills

Autonomy in ML research

Communication to leadership

Experimentation & evaluation

Education

Master's degree in AI/CS/Engineering

Tools

PyTorch

TensorFlow

Transformer architectures

Diffusion models

Mixture of Experts

Job description

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.

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.

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. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at [e-mail]. Reasonable accommodations will be determined on a case-by-case basis.

Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.

Certain positions may be eligible for visa sponsorship.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, 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.