Top Data & Analytics Jobs in San Francisco Bay Area, CA
Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.
Lead a team of machine learning engineers and software engineers in developing and optimizing a personalized video recommendation engine. Define the architecture of the content recommender system for scalability and performance. Drive rapid iteration and evaluate technical tradeoffs to continuously improve the recommender system. Conduct A/B testing and analyze performance metrics.
Senior Business Intelligence Engineer at Snap Inc, responsible for collating and analyzing data to provide insights for decision-making, optimizing campaigns, and impacting client success. Partnering with cross-functional teams, building dashboards, and influencing revenue through data-driven recommendations. Thought leader in industry trends for market pitch strength.
Configure and maintain Workday modules, lead implementation projects, translate business needs into technical requirements, troubleshoot production support issues, and create advanced reports.
Design, implement, and scale critical machine learning models to support Snap's monetization strategies. Collaborate with cross-functional teams to set and align on machine learning strategies. Stay up-to-date with the latest technology in machine learning and apply knowledge to tackle complex problems. Collaborate with leadership to up-level the ML tech stack and improve organization performance. Advocate for best practices in availability, scalability, operational excellence, and cost management. Provide technical direction that influences the ML community.
Lead the Content Moderation and Understanding team, develop machine learning solutions, build content moderation systems, drive team strategy, provide technical direction, and support team growth.
Snap Inc is a technology company seeking a Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, code reviews, and building scalable products. Strong understanding of machine learning algorithms and frameworks like TensorFlow and PyTorch required.
Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong collaboration, mentorship, and problem-solving skills are required. Minimum qualifications include a Bachelor's degree in a technical field and 3+ years of machine learning experience in the industry.
Staff Machine Learning Engineer at Snap Inc. Develop models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, ensure code quality, and build scalable products. Requires 8+ years of machine learning experience.
Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams to align on machine learning strategies, and provide technical direction to influence the ML community.
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