Job Description Summary
Requirements:
- Ability to be available for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time)
- Experience with building and owning end-to-end machine learning or data science-related systems
- 2+ years of industry experience in Machine Learning, Infrastructure or related fields
- 2+ years of experience writing production code in Python, C++, or similar language
- BS or MS in Computer Science, Engineering or a related technical field
Preferred Requirements:
- Strong communication and inter-personal skills, experience working with ML teams is a plus
- Experience working with Kubernetes, Docker, Terraform, or other forms of containerized infrastructure
- Hands-on experience with AWS technologies like EC2, EBS, S3, EKS
Responsibilities:
- Architect, build and maintain large scale distributed systems to support the ML development workflow, from data collection and training to deployment and realtime serving
- Develop services on top of open source technologies like Kubernetes, Tensorflow, and PyTorch
- Own business-critical infrastructure, help resolve production issues, and participate in the team-wide oncall rotation
- Collaborate with ML engineers who use the platform, and help them be more impactful
Perks and Benefits:
We are accepting applications on an ongoing basis.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this
link: https://www.careers.quora.com/benefits
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $183,647 - $267,615 USD + equity + benefits.
- Canada candidates only: For Canada based applicants, the salary range is $230,453 - $287,848 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.