Elevate Launch Potatoβs advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. Youβll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The role requires a blend of technical expertise and business intuition to build scalable and reliable systems that drive revenue.
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Drive machine learning initiatives to instantly generate and visualize home dΓ©cor items, transforming browsers into personalized interior design studios. Use algorithms to offer users a redecoration experience, integrating wallpaper, flooring, countertops, and other home essentials. Implement machine learning techniques to adapt and present dΓ©cor products based on user preferences and room dimensions. Work with design experts to refine models and enhance realism.
Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. Youβll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Elevate Launch Potatoβs advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. Youβll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The ideal candidate will develop and scale advertising algorithms that optimize engagement and revenue simultaneously.
The AI Forward Deployed Engineering (AI FDE) team is a customer-facing AI team at Databricks, delivering professional services engagements to help customers build and productionize first-of-its-kind AI applications. You will develop cutting-edge GenAI solutions, serve as a trusted technical advisor, and collaborate cross-functionally with product and engineering teams.
As an Associate Machine Learning Engineer, youβll have the opportunity to apply foundational AI concepts in a hands-on, production environment. In this role, youβll work on projects that bring theory into practice, contributing to systems that impact real users while receiving feedback and mentorship to support your growth. Youβll gain experience with areas such as large language models (LLMs), search relevance, and natural language processing (NLP) challenges.
We are seeking a Senior Architect, AI Engineering that would report into our Senior Director, Engineering (Emerging Tech). You will play a pivotal role in shaping how we leverage cutting-edge deep learning and multimodal AI to secure large-scale distributed systems. As a recognized technical leader, you will influence product strategy, mentor teams globally, and deliver innovations that safeguard enterprises in dynamic cloud environments.
We're looking for a Machine Learning Engineer to be the bridge between our AI research and production systems, building and maintaining the infrastructure that powers our video-first AI products. This is a generalist role where you'll split your time between deploying state-of-the-art models to production and engineering the data pipelines that feed them.
You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.
As a Software Engineer on the AI Tools team at Tenstorrent, youβll build intelligent systems that help developers create faster, more efficient compute kernels for our AI hardware. Youβll combine low-level performance know-how with AI techniques to automate optimization, debugging, and kernel generation. If you like blending systems programming with machine learning to solve real performance problems, youβll feel right at home.