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Hayden AI

Deep Learning Engineer

Hayden AI

Deep Learning Engineer at Hayden AI building and deploying ML models for perception. Collaborating with engineering and product teams to solve complex problems for customers.

Posted 6/18/2026full-timeSan Francisco • California • 🇺🇸 United StatesJunior💰 $161,637 - $175,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonPyTorch

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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 and 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.
  • Experience working in perception problems in self-driving car companies that aligns closely with the work of this team.

Benefits

Comp & perks
  • Options for medical, dental, and vision coverage for employees and dependents (for US employees)
  • Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
  • 401(k) with 3% company matching
  • Unlimited PTO
  • Daily catered lunches in our San Francisco office

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningML pipelinesmodel deploymentmodel evaluationPyTorchPythonMLOpsexperiment trackingautomated workflows
Soft Skills
communicationcollaborationself-starterquick learneradaptability
Certifications
Bachelors in Computer ScienceMasters in Computer Science