Top Software Engineer Jobs
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.
As a C++ Software Engineer at Snap Lab, you'll integrate computer vision systems into wearable tech, ensuring efficient performance. Collaborate with teams globally to design and implement algorithms, and write tested, high-quality code.
The Lead, Workday Integration Engineer will collaborate with stakeholders to develop, test, and maintain complex integrations using Workday technologies. The role involves solution assessment, design, and building integrations, ensuring robust error handling, performing testing and debugging, and managing full life cycle HRMS implementations.
As an Electrical Engineer at Snap Lab, you'll focus on component analysis, circuit design and debugging, collaborate with various teams on hardware development, and validate electrical designs while ensuring performance over specified conditions.
The Engineering Manager will lead and mentor a team of full-stack developers, establishing strategies and roadmaps while collaborating with various teams to deliver complex technical projects.
You will define the DFT architecture for AI ASICs, interface with partners for implementation, participate in chip testing and production pattern generation, support silicon characterization, and help enhance yield during product ramp-up.
The Engineering Manager will lead and mentor a team of full-stack developers, setting strategies and goals while collaborating with Product, Data Science, and Engineering teams to deliver technical initiatives. Responsibilities include managing the team, hiring, and evaluating technical decisions to ensure mission-critical system development.
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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