Hayden AI
Posted 108 days agoVerified live 2d ago
Deep Learning Engineer
Brief overview
San Francisco HQ OfficeHybrid
UndergradOr in progress
$162k–$175k/yrStated range
1+ yrsMinimum
28 H-1B approvalsDept. of Labor
2 green cardsCertified filings
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.28H-1B approved
100%approval rate
9new H-1B hires
2PERM certified
$187,574median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20238
20246
202512
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20256
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20251
Top sponsored roles
Senior Computer Vision EngineerSenior Embedded Software Engineer, ValidationSenior State Estimation EngineerChief Technology OfficerStaff Estimation Engineer
Sponsored employees from
China
Job description
Summary
Hayden AI is on a mission to harness the power of computer vision to transform transit systems and other government agencies. As a Deep Learning Engineer, you will contribute to building foundational AI capabilities, developing, training, and deploying state-of-the-art machine learning models in production at scale.
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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- Experience working in perception problems in self driving car companies that aligns closely with the work of this team
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