Staff Deep Learning Engineer

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.

As a Staff Deep Learning Engineer in the Deep Learning team at Hayden you are a technical anchor for the team able to own and deliver complex long-horizon perception projects while elevating the engineers around you. You bring mastery in at least two of the verticals below and broad proficiency across the full ML stack: model design training optimization MLOps and cloud/edge deployment. Beyond individual execution you help shape the teams technical direction mentor engineers and drive alignment with cross-functional partners.

Were looking for someone who enjoys being challenged with complex problems in perception and loves working with a bunch of smart people applying state of the art techniques in deep learning to provide impactful solutions to problems faced by Hayden AIs customers

Below are your primary responsibilities. These represent the core areas where youll make an impact. As part of a rapidly evolving team we look forward to your impact expanding over time.

• 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

• Ability to work on abstract and ambiguous problems with different stakeholders like Product and program management and delivering high quality solutions in a timely manner.

The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms and we welcome diverse experiences that advance our mission.

• Education: Bachelors 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 below perception verticals:

  1. 3D vision models to predict depth and 3D structure.

  2. Video/temporal behavior models to predict intent.

  3. Vision language models and hands-on experience fine tuning them.

  4. Foundation models in perception.

  5. Nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models.

• 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

Required Experience:

Staff IC