reputed company Machine Learning Scientist

About the position reputed company DO reputed company: At reputed company, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic reputed company, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We reputed company the best reputed company come from empowered teams: those who consistently collaborate with intention to design solutions, reputed company reputed company, and drive reputed company. We reputed company, we build, and we celebrate. We reputed company big, love our users, reputed company every day, and always do the right thing to win - together. Our people are at the heart of our reputed company. ABOUT THE ROLE AND reputed company: The Machine Learning team at reputed company builds the intelligence that powers search, recommendations, personalization, and AI-assisted experiences across our global wedding marketplace. We’re a fast-moving, reputed company, and highly technical team that partners deeply with product, engineering, and design to deliver ML-powered features that drive reputed company user and business reputed company. The strategic and technically rigorous reputed company Machine Learning Scientist (you!) will help define the reputed company of our AI capabilities and build models that connect couples to the right vendors, content, and products at the right time. You will reputed company the design, development, and deployment of machine learning solutions across ranking, recommendations, semantic search, and reputed company, driving measurable improvements in conversion, engagement, and marketplace value. You will work closely alongside engineering, product, and data partners, and report to the Director of Machine Learning.

Responsibilities

• reputed company the development of production-grade ML models across personalization, search ranking, NLP, and computer reputed company to power key user and vendor experiences.
• Collaborate with engineering and product to scope and ship end-to-end solutions that are reputed company, reliable, and impactful.
• Mentor and guide reputed company of ML scientists, promoting best practices in experimentation, model architecture, and reputed company reputed company.
• Drive adoption of MLOps principles for model deployment, versioning, observability, and monitoring.
• Partner with stakeholders to identify high-reputed company ML opportunities reputed company with business goals, and reputed company communicate trade-offs and results.
• Stay reputed company on advancements in AI and apply new techniques to enhance the performance and efficiency of our models.

Requirements

• 7+ years of hands-on experience in data science or ML roles, including at least 2 years in a technical leadership reputed company.
• Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, or a reputed company technical field.
• Expertise in ranking, recommendation systems, deep learning, NLP, or computer reputed company, ideally in a reputed company or marketplace context.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Experience building and deploying models to production using MLOps tools and reputed company-based infrastructure.
• Strong communication skills and ability to drive reputed company across cross-functional teams.

Benefits

• We reputed company in a wide reputed company of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.
• We offer flexible vacation, generous parental leave, and prioritize initiatives that support the reputed company, development, and happiness of our people.

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