Staff Deep Learning Engineer

Hayden AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Hayden AI is looking for a seasoned engineer to lead the Deep Learning team responsible for advanced perception models. This role involves delivering large-scale projects and collaborating with various teams on MLOps infrastructure.

The ideal candidate will possess 8+ years of experience in machine learning, strong leadership skills, and the ability to communicate effectively in a fast-paced environment. A Bachelor's degree in a relevant field is essential.

Qualifications

• 8+ years building and deploying ML models in production.
• Mastery in at least 2 of the 4 perception verticals.
• Ability to mentor engineers and influence decisions.

Responsibilities

• Lead end-to-end delivery of large-scope perception projects.
• Define and document technical approaches across teams.
• Mentor junior engineers through code reviews and pairing.

Skills

Leadership

Machine Learning

Cloud Deployment

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

MLOps

CI/CD

Job description

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