Machine Learning Engineer, Ads Attribution, 8+ Years of Experience
4 weeks ago
Snap Inc. is a leading technology company that empowers people to express themselves, live in the moment, learn about the world, and have fun together. Our mission is to contribute to human progress by providing innovative products and services that make a positive impact on society.
Job SummaryWe are seeking a highly skilled Machine Learning Engineer to join our team at Snap Inc. The ideal candidate will have a strong background in machine learning, experience with ads attribution and identity resolution, and a passion for building scalable and efficient models.
Key Responsibilities- Design, develop, and deploy machine learning models to support ads attribution and identity resolution.
- Collaborate with cross-functional teams to align on machine learning strategies and meet company objectives.
- Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways.
- Perform code reviews and ensure exceptional code quality.
- Build robust, lasting, and scalable products.
- Iterate quickly without compromising quality.
- Strong understanding of machine learning approaches and algorithms.
- Strong computer science fundamentals.
- Skilled with unsupervised learning for unlabeled data.
- Able to prioritize duties and work well on your own.
- Ability to work with both internal and external partners.
- Skilled at solving open ambiguous problems.
- Strong collaboration, leadership, and mentorship skills.
- Advanced degree in computer science or related field.
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Experience working on machine learning infrastructure and systems.
At Snap Inc., we offer a comprehensive benefits package, including 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.
CompensationIn 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.
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Los Angeles, California, United States Snap Inc. Full timeStaff Machine Learning Engineer, 8+ Years of ExperienceAbout Snap Inc.Snap Inc. is a pioneering technology company that is revolutionizing the way people live and communicate. Our mission is to empower individuals to express themselves, live in the moment, learn about the world, and have fun together. Our core products, including Snapchat, Lens Studio, and...
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