Staff Software Engineer, ML Infrastructure, Level 6

Snap Inc is a technology company focused on empowering people through visual communication. We operate Snapchat and related services. Responsibilities Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure Develop high-performance embedding generation / batch inference systems to improve model performance Develop high-performance data storage/compute systems to improve the efficiency of our ML infrastructure Integrate state of the art ML data quality system to assure model performance Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation 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 while upholding rigorous standards for code correctness, security, and production ready quality code Knowledge, Skills & Abilities Strong programming skills in Python, Java, Scala, or C++ and 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 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 Minimum Qualifications 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 Preferred 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 Accommodations If you have a disability or special need that requires accommodation, please let us know. Equal Opportunity Statement Snap is proud to be an equal opportunity employer, and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Compensation The base salary range for this position varies by pay zone: Zone A $229,000‑$343,000; Zone B $218,000‑$326,000; Zone C $195,000‑$292,000 annually. This position is eligible for equity in the form of RSUs. Benefits Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long‑term success. #J-18808-Ljbffr Snap