Research Engineer Intern at Snap Inc. in Los Angeles, CA

Summary: Snap Inc. is a technology company that believes in enhancing communication through innovative products. They are seeking a Research Engineering Intern to join their User Modeling and Personalization Research Team to lead applied research and software engineering efforts for large-scale machine learning initiatives. Responsibilities: - Lead applied research and software engineering efforts for large-scale ML initiatives in the areas of graph modeling, generative recommendation, personalization, and/or efficiency - Evaluate technical tradeoffs, perform code reviews and write high code-quality code - Build robust, lasting, and scalable systems and iterate without compromising quality - Partner with engineering teams to deliver your technology to millions of Snapchatters - Learn and apply new software engineering skills Required Qualifications: - Demonstrated ability in software development and machine learning - Strong computer science fundamentals and problem-solving skills - Strong understanding of machine learning approaches, algorithms, and data structures - Reading and reproducing machine learning algorithms from scientific publications - Strong proficiency in Python - Familiarity with at least one common machine learning framework as PyTorch, Tensorflow, Keras, JAX, Numpy etc - Must be currently enrolled in a Ph.D. program in a technical field such as computer science (preferred) or equivalent research-intensive graduate program post undergrad. Must have a graduation date no sooner than your intended internship end date Preferred Qualifications: - Internship or academic experience working on challenging and innovative computer science and/or ML research or engineering projects - Proven experience in implementing and applying machine learning methodologies in real-world applications - Experience with distributed data processing frameworks like Apache Spark and/or Beam, data pipelines and MLOps - Experience working with cloud-based systems (GCP, AWS) - A passion for Snapchat and creativity! Required Skills: Machine Learning, Python Important Skills: Machine Learning Frameworks, Distributed Data Processing, Cloud-based Systems Nice-to-Have Skills: Software Development, Research Experience