Haydenai

Deep Learning Engineer

San Francisco HQ Office, Remote. Posted 4 months ago

The role

You will build, train, evaluate and deploy state of the art ML models in production at scale. You will develop solutions to complex problems in perception using deep learning.

What you will do

  • Come up with solutions to complex problems in perception using deep learning
  • Articulate ideas both verbally and in written form culminating in clear design and project plan docs
  • Contribute to team roadmap and planning
  • Work with cross functional teams across the company to contribute towards delivery of end to end solutions

Required qualifications

  • 1-2 years experience building and deploying machine learning models for perception in production settings
  • Solid hands-on experience designing, training, and evaluating machine learning models for perception
  • Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure)
  • Familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows
  • Hands-on experience in PyTorch, Python, and related skills
  • Good communicator
  • Self starter
  • Ability to collaborate with others
  • Quick learner who can adapt to a fast paced startup culture
  • Bachelors or Masters in Computer Science or related field

Nice to have

  • Experience working in perception problems in self driving car companies

About the company

Hayden AI uses computer vision to transform how transit systems and government agencies address real-world challenges. Their mobile perception system empowers clients to accelerate transit and enhance street safety.

Deep Learning Engineer at Haydenai | JobZoey