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Staff Artificial Intelligence Research Engineer (SJ2026KP)

salary Salary :

$237,500 - 249,375 yearly

Job Description - Staff Artificial Intelligence Research Engineer (SJ2026KP)

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.

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 Educational Requirement: Bachelor’s degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Informatics.


Minimum Experience Requirement: 5 years of experience working in developing, evaluating, training AI models for audio or visual perception, language models, reinforcement learning, or related.


Alternate Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering, Computational Sciences, Machine Learning, Informatics.


Alternate Experience Requirement: 3 years of experience working in developing, evaluating, training AI models for audio or visual perception, language models, reinforcement learning, or related was gained.


Please apply online at: https://www.archer.com/careers. Must put job code SJ2026KP 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 $237,500 to $249,375 per year.

#LI-DNI


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

Archer is unable to provide work visa sponsorship for this position at the present time.

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.
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