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. As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production, including: What You’ll Do: Design, implement, and evaluate novel machine learning and deep learning algorithms. Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature. Conduct experiments to benchmark new techniques and evaluate model behavior. Develop tools and frameworks to support scalable and reproducible research and development. Communicate research findings to leadership in a concise, and convincing manner. Stay current with the latest developments in AI/ML and identify relevant innovations. Assist in transitioning research prototypes into production-ready systems. What You Need: M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML. Enjoys solving less-defined and complex problems Familiarity with good SW practices and development, including code quality, version control, etc. Very strong with ML frameworks such as PyTorch, or Tensorflow Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics. Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation. Is up to date with research literature and recent ML techniques and methodologies. Bonus Qualifications: Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus. Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus. Experience developing production AI models is a plus. Publications at top conferences are a plus. About The Team: AI Products is a roughly 100-person software org inside a company of aerospace engineers, and we expect to grow substantially over the next year. You get the resources and momentum of a real org, but the products themselves are early. If you want to hear more about what we're building before you apply, you can't. Apply, and we'll tell you plenty. Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $190,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. 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 people@archer.com . 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. 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 People@archer.com . All employment processes are managed by the Archer People Team.

Requirements

Must-haves

Design, implement, and evaluate novel machine learning and deep learning algorithms.
Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
Conduct experiments to benchmark new techniques and evaluate model behavior.
Develop tools and frameworks to support scalable and reproducible research and development.
Communicate research findings to leadership in a concise, and convincing manner.
Stay current with the latest developments in AI/ML and identify relevant innovations.
Assist in transitioning research prototypes into production-ready systems.
M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
Enjoys solving less-defined and complex problems
Familiarity with good SW practices and development, including code quality, version control, etc.
Very strong with ML frameworks such as PyTorch, or Tensorflow
Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
Is up to date with research literature and recent ML techniques and methodologies.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
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.

Nice-to-haves

Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
Experience developing production AI models is a plus.
Publications at top conferences are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

Platform: greenhouse
Effort: quick

Benefits

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Vision