Haydenai

Haydenai

Deep Learning Engineer

San Francisco HQ Office

Sponsorship not specifiedDetected 34 days ago
PythonAWSGCPAzureCloud PlatformsMachine LearningDeep LearningPyTorchComputer VisionMLOps

About the role

  • 3D vision models to predict depth and 3D structure,
  • Video/temporal behavior models to predict intent,
  • Deep understanding of Vision language models and hands-on experience fine tuning them,

Responsibilities

  • Articulate ideas both verbally and in written form culminating in clear design and project plan docs for their work
  • Personal Attributes:Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture
  • Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure)

Requirements

  • familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows.
  • Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models

Nice to have

  • Experience working in perception problems in self driving car companies that aligns closely with the work of this team.
  • Nice to Have: Experience working in perception problems in self driving car companies that aligns closely with the work of this team.

Skills

  • Solid hands-on experience designing, training, and evaluating machine learning models for perception.
  • Hands-on experience in PyTorch, Python, and related skills.
  • Education: Bachelors or Masters in Computer Science or related field

Benefits

  • Come up with solutions to complex problems in perception using deep learning.
  • Core Skills: Solid hands-on experience designing, training, and evaluating machine learning models for perception.

Company info

  • 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.
  • 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.
  • 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.
  • As a Deep Learning Engineer at Hayden, you will make key contributions towards building foundational AI capabilities for Hayden that will enable solving complex problems for Hayden AI Customers.
  • Below are your primary responsibilities. These represent the core areas where you'll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.
  • 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.
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This listing is sourced directly from Haydenai's careers page and normalized into a canonical job model.