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Archer

Designs and sells electric VTOL aircraft

AI Autonomy Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSan Jose, CA, USA$160k - $235kIn-person

About the Job

Requirements

  • At least 8 years of experience related to the position.
  • M.S., PhD, or equivalent experience in Computer Science, Robotics, or a related field, with strong applied machine learning depth; exceptional bachelor's candidates are also considered.
  • Hands-on experience building, fine-tuning, and/or integrating vision-language or vision-language-action models.
  • A solid grasp of transformer architectures and multimodal foundation models, including practical fine-tuning of a pre-trained checkpoint to a new domain.
  • Strong proficiency with PyTorch or comparable frameworks, and ability to own model-serving integration end to end.
  • Experience building an initial version of a product or system, rather than only iterating on a mature product.
  • Comfort working with ambiguity without requiring a fully scoped program before starting.

Responsibilities

  • Develop and integrate multimodel systems, including vision-language navigation and vision-language-action models, perception models, and language models.
  • Design benchmarks; measure success and failure modes against internal baselines and published results; and report comparisons transparently.
  • Fine-tune and adapt foundation models, clearly weighing tradeoffs at each step.
  • Validate models through data-driven testing in simulation, on hardware, and in flight tests, partnering with Safety and Simulation Engineers who check model outputs.
  • Take models from prototype to deployed, monitored components running on edge hardware under real latency and power constraints.

Desired Qualifications

  • Experience with vision-language navigation or embodied-agent navigation in aerial, ground, or indoor robotics.
  • Experience with reinforcement learning, imitation learning, or self-supervised training for navigation or control.
  • Edge deployment experience with NVIDIA Jetson-class or comparable hardware, including measuring and tuning inference latency and memory footprint.
  • Experience shipping evaluation tooling or benchmarks that enable data-driven decisions.
  • Experience in or alongside a safety-critical or regulated engineering process, such as aerospace, automotive, or medical devices, including outside an ML-specific role.

About the Company

Archer

Designs and sells electric VTOL aircraft

Archer designs and develops electric vertical takeoff and landing (eVTOL) aircraft for urban transport. Its eVTOLs use electric propulsion to take off and land vertically, enabling compact, city-friendly air mobility that can serve urban commuters and feed into air taxi networks. The company sells its aircraft directly and may in the future generate revenue from air taxi services or related operations, blending aircraft sales with service fees. Archer differentiates itself by focusing on the urban air mobility market and pursuing a direct-sales approach paired with potential operation services, aiming to partner with city planners and transportation networks to integrate eco-friendly, on-demand urban transport. The goal is to advance sustainable, city-centered air mobility and help cities reduce congestion and pollution by offering practical, electric aerial transit.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
2020

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