Deep Learning Engineer
Hayden AISmart City company
San Francisco, United StatesMid
The Rise Fund (TPG)
Drawdown Fund
Autotech Ventures
BootstrapLabs
Mitsubishielectric
Costella Kirsch
Data & AI
About the role
TL;DR
Build, train, evaluate, and deploy ML models for perception.
- •As a Deep Learning Engineer at Hayden, you will build, train, evaluate and deploy state of the art ML models in production at scale.
- •Key Responsibilities 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 for their work Contribute to team roadmap and planning Work with cross functional teams across the company and contribute towards delivery of end to end solutions for the customer Requirements Experience: 1-2 years experience building and deploying machine learning models for perception in production settings.
- •Core Skills: 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.
- •Personal Attributes: Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture Education: Bachelors or Masters in Computer Science or related field
Required skills
PythonPyTorchAWSGoogle CloudAzureCI/CDDockerKubernetes
Nice-to-have skills
Computer VisionNLP
Domain expertise
ai
Tech stack
PythonPyTorchAWSGoogle CloudAzureCI/CDDockerKubernetes