Archer Aviation Logo

Archer Aviation

Senior AI Research Engineer - (SJ2026NZ)

Posted Yesterday
Be an Early Applicant
In-Office
San Jose, CA, USA
195K-205K Annually
Senior level
In-Office
San Jose, CA, USA
195K-205K Annually
Senior level
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.
The summary above was generated by AI

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.
HQ

Archer Aviation San Jose, California, USA Office

San Jose, CA, United States

Archer Aviation Mountain View, California, USA Office

1090 Terra Bella, Mountain View, United States

Similar Jobs

2 Minutes Ago
Hybrid
15-20 Hourly
Entry level
15-20 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice and product recommendations to customers, builds complete looks, drives sales, and delivers a seamless checkout experience. Maintains product knowledge, stockroom organization, and operational standards while supporting team collaboration and customer loyalty. Requires flexible scheduling, retail selling skills, strong communication, and the ability to perform physical stockroom and sales-floor tasks, including lifting up to 50 pounds occasionally.
Top Skills: Omni-Channel SellingPosSocial MediaVirtual Selling
2 Minutes Ago
Hybrid
15-20 Hourly
Junior
15-20 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Serves as a front-line Coach brand ambassador by delivering personalized luxury retail experiences, building client relationships, meeting sales goals, and using cross-selling and clienteling techniques. Operates POS and mobile selling tools, processes transactions, supports inventory receiving and replenishment, maintains visual merchandising standards, and keeps sales areas organized. Requires schedule flexibility, teamwork, strong communication, and the ability to perform physical stockroom and sales-floor duties.
Top Skills: Clienteling ToolsIpadLaptopMobile PosPosShort-Form VideoSocial Selling Platforms
3 Minutes Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice, product recommendations, and exceptional customer service in a Kate Spade retail environment. Responsibilities include greeting and engaging customers, creating complete looks, driving sales, processing POS transactions, maintaining stockroom organization, and supporting operational excellence. Requires flexible availability, retail experience, strong communication, teamwork, social media awareness, and the ability to perform physical stockroom and sales-floor duties.
Top Skills: Omnichannel Selling ToolsPos SystemsSocial MediaVirtual Selling Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account