Software Engineer - Computer Vision
Verkada
Who We Are
Education and Experience:
- Bachelor's Degree in Computer Science, preferably with research experience
- 2+ years of industry software engineering experience
- 1+ years of work or research experience with current neural net frameworks
- Mastery of at least one practical programming language
- Experience working in a agile team software development environment
Requirements:
- Python - writing clean, modular, pythonic code
- Traditional computer vision algorithms
- Training deep learning networks using TensorFlow, Keras, Caffe, or similar
- Data structures and architecture
Perks & Benefits:
- Generous company paid medical, dental & vision insurance coverage
- Unlimited paid time off & 11 companywide paid holidays
- Wellness allowance
- Commuter benefits
- Healthy lunches and dinners provided daily
- Generous paid parental leave policy & fertility benefits
Pay Disclosure
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. This estimate is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.