Staff Software Engineer, ML Infrastructure, Level 6
$229,000–$343,000 year
On-siteSeattle, Washington, United States or Palo Alto, California, United States
Job Summary
Design and optimize infrastructure systems for machine learning workloads at scale, driving reliability and efficiency improvements across Snapchat's ML Infrastructure. Develop high-performance embedding generation and batch inference systems to enhance model performance, while building comprehensive data management systems for scalable data collection, labeling, and evaluation. Integrate state-of-the-art ML data quality systems to assure model performance and work closely with ML engineers to deploy cutting-edge models into production. Utilize AI tools and high-velocity engineering workflows to design and ship scalable services, upholding rigorous standards for code correctness, security, and production-ready quality.
Required Qualifications
- Strong programming skills in Python, Java, Scala, or C++
- Strong problem-solving skills with a focus on system performance, scalability, and efficiency
- Good understanding of distributed systems and the infrastructure components of large-scale ML
- Ability to collaborate and work well with others
- Proven track record of operating highly-available systems at significant scale
- Ability to proactively learn new concepts and apply them at work
- Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
- Bachelor's degree in a technical field such as computer science or equivalent experience
- 9+ years of post-Bachelor's software development experience; or Master's degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field+ 2+ years of post-grad software development experience
- Experience building large scale production machine learning systems, distributed systems or big data processing
- Work in an office 4+ days per week
Desired Qualifications
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Experience with large scale feature store or embedding system
- Familiarity with ML frameworks such as Pytorch, Tensorflow
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