Software Engineer - Computer Vision & ML Pipelines

Voxel

San Francisco (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Extensive health, dental, and vision insurance
Generous paid parental leave
Equity Incentive Plan
Flexible work arrangements
Daily meals in-office
401(k) retirement plan

Job summary

Join Voxel in San Francisco as an engineer dedicated to innovating in Computer Vision and Machine Learning. You will design systems that enhance safety and operational efficiency by utilizing cutting-edge algorithms in production environments.

The ideal candidate will hold a Bachelor's degree in Computer Science or a related field and possess proficiency in programming languages like Python and C++. Enjoy extensive health benefits, flexible work arrangements, and an equity incentive plan while working alongside industry experts.

Qualifications

  • Experience in computer vision or machine learning is a plus.
  • Master’s or PhD in a relevant field is preferred.
  • 1-3 years of software development experience is beneficial.

Responsibilities

  • Develop computer vision algorithms for object detection and tracking.
  • Implement techniques for low-latency applications on edge devices.
  • Build scalable pipelines for continuous deployment of ML models.

Skills

Proficiency in Python
Software development experience
Problem-solving abilities
Version control with Git

Education

Bachelor’s degree in Computer Science, Robotics or related field

Tools

Docker
AWS Cloud Services (EKS, S3, ECS)
Bazel build system

Job description

Join Voxel in San Francisco as an engineer dedicated to innovating in Computer Vision and Machine Learning. You will design systems that enhance safety and operational efficiency by utilizing cutting-edge algorithms in production environments.

The ideal candidate will hold a Bachelor's degree in Computer Science or a related field and possess proficiency in programming languages like Python and C++. Enjoy extensive health benefits, flexible work arrangements, and an equity incentive plan while working alongside industry experts.

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