Job Number: 81537
Software Developer Job Code: 4822 Job Grade: J FTE: 100%, Exempt, 2 Year Fixed Term with possible extension School of Engineering, Computer Science Department The School of Engineering
Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems.
Professor Percy Liang's research group in the Stanford Artificial Intelligence Lab (SAIL) is developing CodaLab Worksheets (https://worksheets.codalab.org) with the mission of accelerating reproducible AI research. Think of it as a Git for computational experiments. CodaLab enables researchers to manage numerous experiments at once and share them with the research community so that others can easily reproduce results. A researcher can run any code on any dataset on any cluster of machines, while CodaLab keeps track of the full provenance of all experiments as an immutable computation graph. One can also create worksheets (analogous to Jupyter notebooks) to visualize and document one's experiments and create “executable papers”.
The Stanford Artificial Intelligence Lab (SAIL) seeks a highly-motivated developer who is passionate about dramatically accelerating the pace and quality of AI research to improve CodaLab. This is also an excellent opportunity to be embedded in the Stanford AI Lab, and to get exposure to cutting edge machine learning and Natural Language Processing (NLP) research.
We are looking for highly-motivated developers who are passionate about dramatically accelerating the pace and quality of AI research to improve CodaLab. This is also an excellent opportunity to be embedded in the Stanford AI Lab, and to get exposure to cutting edge machine learning and Natural Language Processing (NLP) research.
Your responsibilities include:
To be successful in this position, you will bring:
Education & Experience:
Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.
Knowledge, Skills and Abilities:
*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
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 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 more!
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 in customer service and provide examples of your experience with attention to detail, responsiveness, and decision-making.
In addition, the applicant should:
Location: School of Engineering, California, United States
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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