ML Engineer

About The CompanyQuora is a privately held, remote-first organization dedicated to the mission of growing and sharing the world's knowledge. The company offers two primary products: Quora, a global knowledge sharing platform with over 400 million monthly unique visitors, and Poe, a versatile platform that enables users worldwide to chat, explore, and build with a variety of AI language models including GPT-5, Claude 4.1, Grok 4, Veo 3, and more. Quora's environment fosters a culture rooted in transparency, collaboration, and experimentation, encouraging innovation and continuous growth. The company is committed to creating a positive impact by connecting people and enabling the exchange of insights across diverse topics, making it a leader in the knowledge-sharing and AI space. Behind these products are passionate, high-performing teams that thrive on idea-sharing and collective success, shaping the future of information exchange and AI integration.About The RoleThis position focuses on working within Quora’s data infrastructure team, primarily supporting the development and maintenance of the company's data systems related to the Quora product. The role involves designing scalable and efficient data architectures to meet the needs of data scientists, engineers, and business stakeholders. The ideal candidate will be instrumental in optimizing data pipelines, improving system reliability, and fostering best practices in data management. You will collaborate closely with cross-functional teams to enhance existing tools, develop new data solutions, and promote the correct use of data across the organization. Your work will directly impact Quora’s ability to process high-volume data efficiently and support next-generation data initiatives, ensuring robust, cost-effective, and reliable data infrastructure that aligns with the company's strategic goals.Qualifications4+ years of experience working in Data Infrastructure or related fieldsProficiency in Python and SQL query designHands-on experience with big data processing frameworks such as Hive, Spark, and TrinoExperience building data-intensive applications with high velocity and volumeKnowledge of SQL/NoSQL data stores and data lake operationsOperational mindset with skills in problem diagnosis, root cause analysis, performance tuning, and incident managementAvailability for meetings and communication during Quora’s coordination hours (Mon-Fri, 9am-3pm Pacific Time)Preferred qualifications include hands-on experience with AWS technologies such as S3, EC2, RDS, EKS, or Apache Iceberg, along with strong interpersonal skills and a flexible, team-oriented approach.ResponsibilitiesDesign and implement scalable, efficient data architectures that meet the needs of data scientists, engineers, and business unitsIdentify opportunities to improve system cost efficiency by reducing data storage and processing expensesModel structured and unstructured data, owning high-level data models and acting as a data consultant for partner teamsPromote best practices in system usage and uphold high-quality code standards across the teamParticipate in on-call rotations, responding to and resolving reliability incidents promptlyCollaborate with cross-functional teams to enhance existing data pipelines and develop new data solutionsContribute to the continuous improvement of data infrastructure reliability, scalability, and performanceBenefitsComprehensive medical, dental, and vision coverageEquity refreshers and stock optionsRemote work reimbursement for home office setup and related expensesPaid time off and holidays to support work-life balanceEmployee assistance programs and mental health resourcesOpportunities for professional development and career growthEqual OpportunityQuora is an equal opportunity employer that values diversity and inclusivity. We welcome applications from individuals of all backgrounds, including marginalized or underrepresented groups in tech. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.