Staff Artificial Intelligence Research Engineer, Archer
$240-252k
More information about location
Office located in San Jose, CA
Electric air taxis
Be an early applicant
Electric air taxis
1001+ employees
Be an early applicant
$240-252k
More information about location
Office located in San Jose, CA
1001+ employees
Company mission
To unlock the skies, freeing everyone to reimagine how they move and spend time.
Role
Who you are
- 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
What the job involves
- 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
Application process
- Must put job code SJ2026YM on resume/CV and cover letter
Our take
With traffic, noise, and emissions becoming major challenges for urban life, Archer is building electric vertical takeoff and landing (eVTOL) aircraft, led by its flagship model, Midnight, offering a cleaner, quieter alternative to traditional short-haul travel. The idea is simple: replace long car rides with quick, sustainable flights that lift off vertically, fly over the gridlock, and help reduce urban pollution. It's a bold shift in transportation, but one that could meaningfully change how we navigate cities in the years ahead.
Midnight is designed to make these short flights practical, safe, and efficient. Its electric powertrain significantly reduces noise and emissions compared to helicopters (one of the biggest barriers to adopting urban air mobility at scale). However, eVTOLs face hurdles before becoming an everyday reality, including regulatory approvals, infrastructure build-out, and the operational testing needed to prove long-term safety and reliability. Archer is addressing these challenges with major manufacturing investment, deep engineering partnerships, and ongoing flight testing in the US and abroad.
Even with these barriers, Archer has been moving from success to success. The company is set to be the official air taxi provider for the 2028 Olympic and Paralympic Games in Los Angeles. And its recent acquisition of Hawthorne Airport in LA will serve as both a launch site and an innovation hub for next-generation, AI-powered aviation operations. On the commercial side, Archer's partnerships with United Airlines and its growing international presence signal strong industry confidence. Combined with newly expanded funding and successful long-range flight tests, Archer sure is a promising player in eVTOl aviation.
Freddie
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (1 round)
Jul 2020
$55.7m
SERIES A
Total funding: $55.7m
Company HQ
Tasman and Zanker, San Jose, CA
Leadership
Adam Goldstein
(Founder & CEO)Began their career in Financial Services, before co-founding Vettery, a talent marketplace, in 2012. Founded Archer in 2018.
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