Machine Learning Engineer

Overview

We are seeking a highly motivated Machine Learning Engineer to help build next-generation AI-powered search and generative experiences. In this role, you will leverage state-of-the-art machine learning techniques, large language models, and software engineering best practices to develop scalable solutions that enhance user experiences. You will work closely with cross-functional teams to design, deploy, evaluate, and optimize machine learning systems while contributing to a culture of technical excellence and innovation.

Key Responsibilities

• Leverage and advance the latest developments in Machine Learning, Deep Learning, and Generative AI to deliver high-impact product features.

• Design, develop, train, and deploy machine learning models for search relevance, ranking, query understanding, question answering, and generative experiences.

• Build robust evaluation frameworks and metrics to accurately measure model quality, performance, calibration, and user impact.

• Translate product requirements into machine learning solutions, modeling strategies, and engineering deliverables.

• Collaborate with Infrastructure, Data Engineering, Product Management, Design, and Quality teams to develop innovative AI-driven features and exceptional search experiences.

• Optimize model performance, scalability, reliability, and production deployment pipelines.

• Conduct experiments, analyze results, and iterate on model improvements using data-driven methodologies.

• Mentor junior engineers and applied scientists, fostering technical growth and promoting engineering best practices.

• Contribute to the development of a high-performing, world-class AI and Machine Learning team.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Retrieval, or a related field, or equivalent practical experience.

• 6+ years of industry experience developing and deploying machine learning solutions in collaborative environments.

• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Strong understanding of machine learning model development, training, evaluation, and deployment.

• Experience translating business and product requirements into machine learning and software engineering solutions.

• Proficiency in at least two programming languages, including Python, C/C++, Java, or Go.

• Strong software engineering fundamentals, including system design, testing, and scalable application development.

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.

• Experience with Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks.

• Prior experience developing machine-learned models for search relevance, ranking, query understanding, recommendation systems, or question-answering applications.

• Experience building and optimizing consumer-facing AI products at scale.

• Familiarity with model evaluation, experimentation frameworks, A/B testing, and responsible AI practices.

• Experience working in fast-paced, cross-functional product organizations.

Technical Skills

• Machine Learning & Deep Learning

• Generative AI and Large Language Models (LLMs)

• Search Relevance and Information Retrieval

• Query Understanding and Ranking Systems

• PyTorch, TensorFlow, JAX

• Python, Java, Go, C/C++

• Model Training, Evaluation, and Deployment

• Distributed Systems and Scalable ML Infrastructure

• Data Analysis and Experimentation

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