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, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures.
- Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks.
- Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech.
- 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 Generative AI and Speech/Language Models and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM 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 $240,000 to $252,000 per year.
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Skills Required
- Master's degree or PhD in Artificial Intelligence, Computer Science, or related fields
- 3 years of experience with production machine learning systems
- Experience using Python and PyTorch
- 1 year of experience in computer vision or multimodal ML systems
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.
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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.
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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.
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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
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.
