Join us as we pursue our disruptive new vision to make data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, our customers, having fun, and most meaningfully to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
For this role knowledge of data science or ML concepts is not vital, but you must have an understanding of the data science workflow and be passionate about enabling data scientists and ML engineers with better tooling and platforms. In particular, you must be a backend software generalist with prior experience building integrations and customizations around the Jupyter ecosystem, open source data science and machine learning tooling and platforms like Pandas, Dask, scikit-learn, Spark, and Kubeflow.
An abundance of opportunities to have an impact, work with and learn about cutting edge tools and technologies in machine learning and data science, distributed systems, cloud technologies and data processing platforms. A team of hardworking engineers and scientists to collaborate with, learn from and provide mentorship to. Opportunities to grow your career and deliver unique features.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records