
Machine Learning Verification Systems Specialist
2 weeks ago
Job Overview:
We are seeking a highly skilled leader to drive the development of our machine learning verification team. The successful candidate will be responsible for overseeing the implementation of new processes and ensuring the delivery of high-quality software to customers.
The ideal candidate will have a strong background in verification, excellent leadership and communication skills, experience in writing software, strong analytical and technical skills, and the ability to work independently and collaboratively with others.
This is an exciting opportunity for a talented professional to join our team and contribute to the success of our business.
Key Responsibilities:- Lead a team of engineers to develop a verification process for complex machine learning optimization software
- Define acceptance criteria, performance metrics, and test accuracy
- Work closely with the development team to clarify requirements, provide feedback on code quality, drive documentation improvements, and ensure defect identification and resolution occurs on time
- Drive the team to meet the highest code and product quality standards
- Guide the team to understand and meet customer requirements
- Bachelor's degree in computer science or a relevant discipline; a master's degree is preferable
- 10+ years of practical experience in software engineering
- Excellent analytical, problem-solving, and technical skills
- Experience with compilers or software optimized for specific hardware
- Leadership skills
- Strong written and verbal communication skills
- Experience with distributed systems
- Experience with batch compute
- The ability to work independently and to collaborate with others
- Python software development of automation infrastructure
- Linux system administration
- Docker, Git, Jenkins, NFS, GitHub CI, Splunk, SQL
- Server sysadmin in support of local teams
- Proven experience as an ML Ops/DevOps Engineer or similar role
- Experience with industry standard CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub CI)
- Proficient in Python programming and automated testing
- Sysadmin experience within a device farm setting (physical device management)
- Advanced-level skills in Linux system administration, Docker, Git, Jenkins, NFS
- Experience with SQL, data visualization tools
- Strong problem-solving skills and the ability to troubleshoot complex system issues
- Excellent communication and collaboration skills to work effectively within a cross-functional team spanning several time zones
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