Senior AI Research Engineer - (SJ2026NZ)

Posted 2 Days Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
195K-205K Annually
Senior level
Aerospace
The Role
Design, implement, and evaluate machine learning and deep learning algorithms for autonomy, trajectory prediction, and perception. Develop predictive and decision-making models, conduct experiments in simulated or dynamic environments, and build scalable research tools. Collaborate on research prototypes involving agent behavior, environmental understanding, and generative AI. Communicate findings to leadership and help transition validated research systems into production.
Summary Generated by Built In

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.

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 [email protected]. Reasonable accommodations will be determined on a case-by-case basis.

#LI-DNI


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.Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to [email protected]. All employment processes are managed by the Archer People Team.

Skills Required

  • Master's degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Robotics, or Informatics
  • High proficiency with AI and machine learning frameworks such as PyTorch or TensorFlow
  • Ability to debug AI models and determine data, training, and evaluation requirements
  • Understanding of Transformer architectures and attention mechanisms
  • Understanding of multimodal foundation models
  • Understanding of diffusion policies
  • Understanding of model fine-tuning and model distillation
  • Understanding of mixture-of-experts architectures

Archer Aviation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Archer Aviation and has not been reviewed or approved by Archer Aviation.

  • Healthcare Strength — Health coverage includes medical, dental, and vision, alongside HSA/FSA options and an Employee Assistance Program, forming a comprehensive base. Wellness activities and company-sponsored outings are additionally referenced.
  • Leave & Time Off Breadth — Time off includes generous PTO, paid sick days, and paid holidays, with unlimited PTO noted for exempt employees. This breadth provides above-average flexibility for a hardware-focused environment.
  • Equity Value & Accessibility — Ownership opportunities include company equity, performance bonuses, and an Employee Stock Purchase Plan with a purchase discount. Equity is used to keep packages competitive in high-demand roles, creating meaningful upside potential.

Archer Aviation Insights

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The Company
HQ: San Jose, CA
283 Employees
Year Founded: 2018

What We Do

Archer is an aerospace company building an all-electric vertical takeoff and landing aircraft focused on improving mobility in cities. The company's mission is to advance the benefits of sustainable air mobility. Archer is designing, manufacturing, and operating a fully electric aircraft that can carry four passengers for 60 miles at speeds of up to 150mph while producing minimal noise. Archer's team is based in the San Francisco Bay Area.

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