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Help design and implement our next generation of search and retrieval systems, machine learning technologies, and generative AI-based applications. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.
Job Responsibility:
Lead the design, development, and maintenance of cutting-edge search and retrieval, recommendation, and personalization solutions to deliver new customer-facing experiences
Incorporate AI-based technologies where appropriate, including prompt engineering, model fine tuning, and agent-based application enhancements, collaborating closely with product managers and stakeholders
Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance
Lead initiatives to optimize the performance and quality of ML and AI-based systems using new or established metrics
Support operational excellence by participating in initiatives to streamline AI and ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems
Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems
Requirements:
4+ years of hands-on experience in AI, machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments
Extensive experience with search and retrieval systems and recommender systems, preferably including retrieval-augmented generation (RAG) and developing agent-based applications that use search and retrieval systems as tools
Experience designing, developing, and deploying end-to-end AI and machine learning systems, including data pipelines, model training and serving, and monitoring solutions
Demonstrated ability to guide projects and foster a collaborative and high-performing work environment
Ability to break down complex projects, effectively scope and sequence work, and manage timelines
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred
Nice to have:
A sense of humor is optional but appreciated
What we offer:
Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs
Commitment to DEI through ongoing initiatives and employee resource groups