Top Data & Analytics Jobs
The Machine Learning Engineering Manager will lead a team focusing on causal measurement and system optimization. Responsibilities include defining system architecture, driving innovative experimental design, advocating best practices in causal inference, and collaborating with cross-functional teams for strategic insights through rigorous testing.
The Staff Machine Learning Engineer will develop algorithms for computer vision tasks and wearable AR devices, collaborate within a cross-functional team, stay abreast of ML research, and prototype advanced machine learning models.
Lead a team in developing and optimizing a personalized video recommendation engine. Define the architecture, drive iterations, conduct performance analysis, and mentor engineers. Facilitate collaboration across departments to improve system reliability and efficiency.
Lead a team of engineers in developing a personalized video recommendation engine. Define the architecture for scalability and performance, conduct A/B testing, and improve the recommendation system through technical reviews and team mentorship.
As a Senior Manager of Machine Learning Engineering, you will lead the Content Moderation and Understanding team by developing solutions for content understanding, building a content moderation system, and guiding the team's strategies and goals in machine learning and engineering excellence.
As a Principal Machine Learning Engineer at Snap Inc, you will design and implement machine learning components, develop a next-generation training framework, optimize model training with GPUs, and create an AutoML platform. You will advocate for best practices in system scalability and operational excellence, while influencing technical directions across teams.
Lead the technical direction of the Ad Ranking team at Snap, focusing on advancing ML capabilities for ad optimization. Design and scale machine learning models, collaborate with cross-functional teams, and stay current with ML technologies to solve complex advertising-related problems.
As a Principal Machine Learning Engineer at Snap Inc, you will design and scale machine learning components and services, build a training framework for large-scale model training, optimize training performance using GPUs, develop an AutoML platform, and collaborate across teams to deliver innovative solutions, while advocating for best practices in scalability and operational excellence.
As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models, collaborate with cross-functional teams, and advocate for best practices in availability, scalability, and operational excellence for ad optimization strategies.
The Machine Learning Engineer will be integral to a senior team developing a Brain-Computer Interface (BCI) device. Responsibilities include designing and evaluating deep learning models, applying cutting-edge research, prototyping ideas, and collaborating across disciplines to create innovative products.
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