Senior Machine Learning Engineer, Discover

Accountabilities:

• Design, build, and scale the discovery feed and recommendation engine that powers how users find creators, communities, and digital products.
• Develop and iterate on large-scale ML systems, including embeddings, ranking models, personalization layers, and experimentation frameworks.
• Productionize machine learning models end-to-end, ensuring reliability, performance, and scalability in consumer-facing environments.
• Leverage data analysis, experimentation, and engineering intuition to make high-quality decisions that accelerate product-market fit.
• Collaborate closely with executive leadership, product, and cross-functional engineering teams to translate strategic vision into technical execution.
• Continuously optimize algorithm quality, relevance, and performance to deliver engaging, goal-oriented discovery experiences.
• Contribute to system architecture and backend engineering efforts that support real-time recommendations at scale.


Requirements:
• 5+ years of hands-on software engineering experience, including at least 2+ years focused on machine learning, recommendation systems, or large-scale data products.
• Proven experience building or scaling feeds, ranking systems, or consumer-facing ML-driven discovery platforms.
• Strong backend and data engineering expertise, including system design and deploying ML models into production environments.
• Deep understanding of consumer application dynamics and the factors that drive engagement and product-market fit in discovery ecosystems.
• Experience working with experimentation frameworks, A/B testing, and performance optimization of ML systems.
• Comfortable operating in fast-paced, ambiguous environments with a strong bias toward experimentation and iteration.
• Exceptional problem-solving skills, curiosity, and drive to continuously learn new technologies and techniques.
• Fluent English communication skills (C2 level or equivalent), suited for remote, asynchronous collaboration.


Benefits:
• Competitive salary range of $170,000 – $200,000 USD per year, plus equity.
• Fully remote work — operate from anywhere in the world.
• 35 days of paid time off annually, plus a paid sabbatical after 5 years.
• Comprehensive medical coverage (100% for you and your family) or medical reimbursement options where applicable.
• Parental leave to support growing families.
• Home office stipend to optimize your remote workspace.
• Learning & development stipend to support ongoing professional growth.
• Annual bonus potential for eligible roles.
• Twice-yearly, fully paid global company retreats in inspiring international locations.
• U.S.-benchmarked compensation philosophy regardless of location.