Lead/Principal Machine Learning Scientist - Recommendation Systems

This senior principal role leads the technical direction for SoundCloud's recommendation systems, driving innovation in personalization and discovery. The position involves architecting scalable ML solutions, mentoring engineers, and aligning ML strategy with business goals.

This role develops and deploys machine learning models for recommendation systems, improving user engagement and personalization. The engineer works on feature engineering, model training, and online serving, requiring strong ML and distributed systems expertise.

This Staff Machine Learning Engineer in Pinterest Labs focuses on advancing Generative Recommendation Systems (GenRec) and reinforcement learning solutions for content discovery. The engineer will lead research, architecture, and production deployment, collaborating with product and data science teams to drive impact across Ads, Discovery, Growth, and Search. Requires MS/PhD in CS, 6+ years experience, and expertise in large-scale recommendation systems and RL, with LLM/VLM post-training experience preferred.

This role involves developing and deploying machine learning models for search and recommendation systems within an AI-augmented financial data platform. The scientist will work on personalizing recommendations for finance professionals based on professional intent and diverse data sources. The position requires expertise in applied ML and collaboration with a team of AI/ML experts in a dynamic startup environment.

This hands-on B2B marketing generalist role at Bókun (a Tripadvisor company) supports the Growth team across content, video, social, PR, and events. The marketer will produce campaign content, short-form videos, manage social channels, support trade shows like WTM London, and build email campaigns to drive free trial sign-ups. The role requires 2-4 years of marketing experience, video production skills, and proficiency with AI tools to accelerate content creation.

This junior software engineering role at Bókun in Reykjavik is open to engineers with up to 3-4 years of experience, including recent graduates. The engineer will work across the full stack (React/TypeScript frontend and Java backend) building features for the tour operator booking platform. The role requires a Computer Science degree and proficiency in at least one modern programming language, with a focus on learning and growth.

This front-end engineering role at Bókun in Reykjavik focuses on building and modernizing user interfaces for the booking management platform used by tour operators. The engineer will write TypeScript and React code daily, collaborate with product and design teams, and contribute to architectural decisions while improving the UI. The role requires 4+ years of experience and offers a January 2027 start date with access to AI coding assistants like Claude Code.