| Full-Stack Software Engineer GeoMatch at Remote, Remote, USA |
| Email: [email protected] |
| From: Pallavi, nss [email protected] Reply to: [email protected] The Immigration Policy Lab (IPL) at Stanford University is seeking to hire a full-time Software Engineer to join its GeoMatch project team. The GeoMatch team partners with governments and nonprofits to develop and implement an algorithm-based matching tool that connects asylum seekers, refugees, and immigrants to the places where they are most likely to thrive. GeoMatch has already helped case officers find new communities for thousands of refugees, and we need to grow our team to meet demand for the tool. GeoMatch is a global initiative that combines high-quality academic research with elements of a social impact tech start-up: codebase development, product design, strategic partnerships, and advances in artificial intelligence. About the lab The Immigration Policy Lab (IPL) at Stanford University works closely with community-based organizations and government agencies to design new programs and tools with the potential to affect the lives of millions of migrants. Our talented team of staff, faculty, postdocs, and graduate and undergraduate students contribute to an innovative research model that combines the rigor of an academic unit with the efficiency and innovation of a civic-tech lab. Within the lab, GeoMatch functions with the adaptability of a start-up that develops user-focused software products, while maintaining a commitment to generating rigorous evidence of their impact. To learn more about GeoMatch and IPL, visit our website: About the position We are looking for a full-time Software Engineer to join the core GeoMatch team as a technical lead and programmer. In this role, you will collaborate closely with faculty and staff (including our existing Senior Software Engineer) to develop, adapt, and scale the GeoMatch software tool for governments and nonprofits serving immigrants and refugees. The Software Engineer will develop and scale data pipelines in Python, R and pandas; create and maintain a cloud development environment for the team's data scientists; and modularize an existing codebase to be able to adapt to different partners' needs. Additionally, they will also work with the team's data scientists to ensure that they can run their workflows and have the data they need. (The data scientists on our team primarily use R, but prior experience with R is not required for this position.) We are looking for candidates who have the ability and experience to meet the technical requirements of the position and who are enthusiastic about using their skills to build a software product with real-world impacts. As a member of our collaborative team, the Software Engineer can receive co-authorship on academic papers resulting from projects that they manage. This is a 100% FTE, one-year, fixed-term position with the possibility of renewal depending on funding and performance. IPL is a highly-collaborative work environment with a mix of employees that are hybrid or fully remote. We will consider both remote and hybrid candidates for this position. Remote candidates must be located in the United States. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. CORE DUTIES: Develop and scale full-stack applications in Python, Javascript and R to meet the needs of an expanding partner base Develop, scale and automate data pipelines in Python and R Optimize, generalize, and modularize the codebase to support a growing number of partners with diverse needs. Design and implement comprehensive testing protocols to enhance the reliability of a codebase with previously low test coverage. This includes developing unit, integration, and system tests to ensure software functionality and stability Help to create and maintain a cloud development environment for the team Manage AWS accounts via Terraform to support our application's scalability and security needs Assist in the maintenance and troubleshooting of production issues as needed, sharing on-call duties for outages that might pop up Collaborate with other team members and stakeholders to understand the requirements and deliver high-quality software. This includes a wide variety of users: data scientists, researchers, developers, and end users Work independently while having a documented and thought-out decision making process* Other duties may also be assigned.EDUCATION AND EXPERIENCE: Bachelor's degree and five years of relevant experience or a combination of education and relevant experience.KNOWLEDGE, SKILLS, AND ABILITIES: Expertise in designing, developing, testing, and deploying applications. Proficiency with application design and data modeling. Ability to define and solve logical problems for highly technical applications. Effective communication skills with both technical and non-technical clients. Ability to lead activities on structured team development projects. Knowledge of application domain.Additional highly desired knowledge, skills and abilities include: Bachelor's degree in Computer Science, Engineering, or a related field Familiarity in Django (or similar framework) and React Strong understanding of the full web technology stack (e.g., HTTP, cookies, headers, asset loading, caching, REST APIs) Familiarity with some cloud services, particularly AWS, including ECS, ECR, S3, and RDS. Familiarity with SQL databases such as PostgreSQL and SQLite. This includes a familiarity with the maintenance of such databases, such as schema and data migrations Ability to write clean, readable, and maintainable code Proficiency with application design and data modeling using relational databases Familiarity with data pipelining and workflows (We use R, Python and pandas) Commitment to and alignment with GeoMatch research goals and IPL's mission Ability to thrive in a lean, start-up environment: able to manage ambiguity and navigate uncertainty and competing priorities while contributing to a supportive, focused and productive team environment Ability to travel for occasional domestic and international travel (2-4 weeks/year)Additional preferred qualifications include: Experience deploying machine learning applications and knowledge of the ML pipeline (the process of training, saving, then running a model) Experience with infrastructure as code tools such as Terraform. Familiarity with cloud development environments, especially AWS SageMaker Studio. Familiarity with the R programming language Comfortable with server administration using Docker and LinuxHow to Apply We recognize that the job description may not exactly match your qualifications. If you think you may be a good fit, we encourage you to apply. We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and resume along with your online application. Your one-page cover letter should briefly describe your background, interest in IPL and GeoMatch, and your experience developing software in collaborative environments. Optional: We also welcome attachments showcasing work samples and portfolios of past projects. This remote 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 $102,000 to $161,000 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 factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( 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 The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 24 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. 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 audit a course. 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 moreThe job duties listed are typical examples of work performed by positions in this job classifications 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 at For all other inquiries, please submit 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. Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. LELAND STANFORD JR, UNIVERSITY Computer/IT N/A Overall Rating : 4.5 Recruiter Details Confidential Keywords: artificial intelligence machine learning sthree rlang information technology Colorado Full-Stack Software Engineer GeoMatch [email protected] |
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| Sun Jul 14 06:49:00 UTC 2024 |