Senior Director, AI

Remotefull timeRemote

Apply on Employer Site

senior

$257k–$402k

H1B: yes

Agility Robotics The Senior Director of AI at Agility Robotics leads the strategic direction and execution of AI and machine learning initiatives for humanoid robots. This role involves defining AI architecture, ensuring ethical implementation, and delivering real-time AI capabilities for intelligent and safe robot interaction.

Responsibilities

Define and champion the overall AI strategy and roadmap
Lead selection and integration of advanced machine learning models and algorithms
Foster a culture of innovation and responsible AI development
Ensure AI systems adhere to safety, privacy, and ethical guidelines
Partner with Hardware and Robot Software leadership to optimize sensor suite and embedded compute
Oversee design, development, and deployment of on-robot and cloud-based AI systems
Establish MLOps best practices for model training, deployment, monitoring, and iteration
Drive research into novel AI solutions for robotics challenges
Deliver production-ready AI models meeting performance and reliability requirements
Spearhead Sim2Real strategy using physics-based simulation
Accelerate data flywheel strategy combining teleoperation, synthetic data, and fleet learning
Champion team talent and represent needs to senior leadership

Qualification

Advanced degree (MStrong expertise in core AI domainsAnticipated Base Salary Range$257In addition to base pay401(k) Plan

Required

Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
Minimum of 8 years of experience in AI/ML, with at least 5 years in a senior leadership or directorial role.
Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
Proven track record of managing significant technical budgets and scaling high-performance engineering and research teams.
Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.
This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Base Salary Range
$257,000—$402,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
401(k) Plan: Includes a 6% company match.