About the role
What will you do at Hayden AI?
About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary:
The Deep learning team’s work is at the crux of Hayden AI’s solutions to its customers. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases. The team runs a number of models both in the cloud as well as on the edge device serving different scenarios.
The team also works closely with the platform team to build out Hayden AI’s MLOps infrastructure to achieve better scale and reliability.
Responsibilities
- Lead end-to-end delivery of large-scope perception projects, from design through production
- Define and document technical approaches; drive alignment across Deep Learning, Platform, and Product teams
- Mentor junior and mid-level engineers through code review, design feedback, and hands-on pairing
- Contribute to team roadmap and help evaluate and prioritize new technical investments
- Set and uphold engineering quality standards across model development, MLOps, and deployment
- Required
Qualifications
- Education: Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field
- Experience: 8+ years building and deploying ML models in production; prior experience in a tech lead or staff-equivalent role preferred
- Depth: Mastery in at least 2 of the 4 perception verticals
- Breadth: Working proficiency across model training, evaluation, optimization, cloud and edge deployment, and MLOps (pipelines, experiment tracking, CI/CD for ML)
- Leadership: Proven ability to mentor engineers, lead technical discussions, and influence cross-team decisions
- Personal Attributes: Excellent written and verbal communication skills, able to write clear design docs and project plans; thrives in a fast-paced startup
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Orchestration Workload Engineer - ACE - AI Factory
Roche · Kaiseraugst, Aargau, Switzerland
Data Analyst ServiceNow Developer
SiloSmashers, Inc. · District of Columbia, United States
Principal Engineer, Content and Generative AI Exploration, Search Platforms
Google · Mountain View, California, United States
Applied AI Design Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
Knowledge Engineer / Semantic Expert for AI Associate Director
Accenture · St. Louis, Missouri, United States
AI Risk Engineer
Bright Vision Technologies · Columbus, Ohio, United States
Role information can change. Confirm current details on the original application page.
