Artificial Intelligence Research Engineer SJYM

Staff Artificial Intelligence Research Engineer - (SJ2026YM)

San Jose, California, United States

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.

We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

• 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.

Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.

AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer, or related job title with 3 years of experience 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 large‑scale 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).

PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.

AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer, or related job title with 2 years of experience 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 large‑scale 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).

We are offering $240,000 to $252,000 per year.

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.