You’ll play a critical role in scaling our ML Infrastructure, optimizing training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful. We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!  What you’ll do: • Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure • Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation • Develop high-performance inference systems to ensure fast and efficient AI model serving • Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud  • Develop high-performance inference systems to ensure fast and efficient AI model serving • 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++ • 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  • Experience with big data processing frameworks such as Spark, Flink, or Ray • 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 • 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 • 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field • 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 working with ML Training platforms or optimizing AI model inference • Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.  : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and 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! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. The base salary range for this position is $157,000-$235,000 annually. Zone B: The base salary range for this position is $149,000-$223,000 annually. Zone C: The base salary range for this position is $133,000-$200,000 annually. This position is eligible for equity in the form of RSUs.