playing, learning, and working better together. The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK!

, learning, and working better together. The Spectacles team is looking for a Computer Vision/Machine Learning Engineer to join the AR team in London, UK!

Knowledge, Skills, & Abilities: Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature

looking for a Software Engineer, ML Infrastructure to join Snap Inc., as part of the ML Data team that builds the foundational data platforms powering Snap’s machine learning. The team develops and

Inc! What you’ll do: In this role, you will be working on client-side solutions that tie together graphics, computer vision, machine learning, and

Infrastructure to join Snap Inc! What you’ll do: Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and

all levels of a company. Strong technical grasp of privacy fundamentals as well as machine learning, cryptography, data classification, and data lineage.

Minimum Qualifications: PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience

record of shipping premium consumer product experiences in games, advertising, or other related channels Image processing, computer vision, machine learning experience

the following areas: machine learning, backend, large-scale systems, data pipeline. Expertise in at least one of the ads lifecycle components including targeting, retrieval

systems Infrastructure and large-scale system design Information Retrieval/Search Systems Machine learning for

Networking and data storage Machine learning and natural language processing tools Minimum Qualifications: 2&#43

Infrastructure and large-scale system design Security Networking and data storage Machine learning and

Minimum Qualifications: PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of

Excellent problem solver with a foundation in Six Sigma Familiarity with machine learning and deep learning applications in manufacturing

(e.g., machine learning, optimization) to solve real-world problems. Proven track record of delivering large scale projects in attribution and measurement