The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is a rapidly growing institute within the office of the Vice Provost and Dean of Research at Stanford University. The mission of HAI is to advance AI research, education, policy and practice to improve the human condition. Led by faculty from multiple departments across Stanford, research focuses on developing AI technologies inspired by human intelligence; studying, forecasting and guiding the human and societal impact of AI; and designing and creating AI applications that augment human capabilities.
The Stanford Digital Economy Lab conducts groundbreaking research on the impact of the digital economy. We bring together an interdisciplinary group of passionate researchers to study how digital technologies are transforming work, organizations, and the economy. Our insights are helping companies, policymakers, students, and professionals rise to the challenges and opportunities created by digitization. We believe in the power of human work and that augmenting human capabilities with machine capabilities will lead to the most profitable gains for everyone. The Lab is part of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR).
We are looking for a data engineer to collaborate with members of the research teams at SDEL. In this role, the data engineer would design and implement data models that support specific analytic needs. This includes providing leadership in the areas of data modeling techniques that consider standards and best practices. Of special interest is appropriate tooling and methodologies that promote scalability, extensibility, and reuse.
This is a 2-Year Fixed Term position.
Core Responsibilities: Design and implement databases and data pipelines to support the lab's research needs.Develop and maintain machine learning models, including natural language processing modelsTrain other researchers in data management, GCP, machine learning, and NLP techniquesConduct code review and ensure the quality of code developed by the lab members and research assistantsWork collaboratively with researchers and other members of the lab to ensure the timely completion of projectsStay up-to-date with the latest developments in big data engineering and machine learningEnsure efficient use of Cloud Credits across projectsIdentify and assess potential data acquisitionsContribute to technical discussions at a big picture level and provide feedback on decisions and interpretations.
Required Capabilities: PhD, Master's degree, or Bachelor's degree in Computer Science, Software Engineering, or a related field5+ years of experience in software development and big data engineeringStrong programming skills in Python and experience with relational databasesExperience in developing and deploying machine learning models, particularly in NLPExperience with cloud computing platforms (e.g. GCP, Azure, or AWS)Familiarity with distributed computing frameworks (e.g. Hadoop, Spark)Good communication and collaboration skillsAbility to work independently and manage multiple projects simultaneouslyThis role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures . The compensation for this position will be based on the location of the successful candidate.
The expected pay range for this position is $96,000 to $140,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees.
Specifics about the rewards package for this position may be discussed during the hiring process.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.A caring culture. We provide superb retirement plans, generous time-off, and family care resources.A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.Discovery and fun. Stroll through historic sculptures, trails, and museums.Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more1The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Dean of Research, Stanford, California, United States
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