Data Engineering Intern (Operations Quality Machine Learning)
Mountain View, CA
Applications have closed
Pure Storage
Discover a better way to interact with your data through storage that's always modern, easy to manage, and provides a flexible way to consume.BE PART OF BUILDING THE FUTURE.
What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse?
The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data. With 9,000 customers including 50% of the Fortune 500, we’ve only scratched the surface of our ambitions.
Pure is blazing trails and setting records:
- For eight straight years, Gartner has named Pure a leader in the Magic Quadrant
- Our customer-first culture and unwavering commitment to innovation have earned us a certified Net Promoter Score in the top 1% of B2B companies globally
- Industry analysts and press applaud Pure’s leadership across these dimensions
- And, our 4,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go
If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.
SHOULD YOU ACCEPT THIS CHALLENGE...
The Data Analytics & Visualization team is seeking an intern with machine learning experience and would be interested in pursuing data science. You'll be doing statistical analysis over large amounts of data and building high quality machine learning systems integrated with our products. You'll also spend time building the systems that ingest, process, organize and store data from a diverse collection of data sources.
WHAT YOU’LL NEED TO BRING TO THIS ROLE...
- Currently enrolled in a Bachelors, Masters, or Ph.D. program in Computer Science or a related field, and an expected graduation date between December 2022 to July 2023
- Able to work full-time for 12 weeks during summer 2022 in Mountain View, CA
- Experience building in ML models & subsequent evaluation is a must
- Must be fluent in Python and SQL/MYSQL
- Preferred/Ideal skills below
- Previous machine learning internship experience
- Familiarity with Linux/Unix, AWS/S3, Apache Spark
- Familiarity with deep learning algorithms: RNN, Autoencoders, etc. and frameworks like TensorFlow, PyTorch, or Theano.
- Understanding of time series analysis/analytics: ARIMA, LSTM, etc.
- Experience with ETL (Extract, Transform, Load)
- Familiarity with a Data Visualization Software like Tableau
- Initiative to meet deadlines and deliver high quality results without supervision
- Must be willing and able to work in an open office, team environment, adhering to any requirements of the local health authorities for a safe working environment
BE YOU—CORPORATE CLONES NEED NOT APPLY.
Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey.
Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
PURE IS COMMITTED TO EQUALITY.
Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
If you need assistance or an accommodation due to a disability, you may contact us at TA-Ops@purestorage.com.
APPLICANT & CANDIDATE PERSONAL INFORMATION PRIVACY NOTICE.
If you're wondering how or why Pure collects or uses information you provide, we invite you to check out our Applicant & Candidate Personal Information Protection Notice.
DEEMED EXPORT LICENSE NOTICE.
Some positions may require a deemed export license for compliance with applicable laws and regulations. Please note: Pure does not currently sponsor deemed export license applications so we are unable to proceed with applicants requiring stated sponsorship.
PURE’S COMPLIANCE WITH THE U.S. GOVERNMENT COVID-19 MANDATE
In accordance with Pure’s policies, current and anticipated federal regulations, and our ongoing commitment to prioritizing the health and well-being of our employees, partners, and customers, and the community at large, where permitted by law, all Pure employees and contractors working in the United States are expected to be fully vaccinated against COVID-19 prior to your start date. Should you require an exemption for medical or religious reasons, you must initiate Pure’s exemption request process which will determine if an exemption can be granted in accordance with applicable local, state, and/or federal law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data Analytics Data visualization Deep Learning Engineering ETL Linux Machine Learning ML models MySQL Python PyTorch R R&D Research RNN Spark SQL Tableau TensorFlow Theano
Perks/benefits: Career development Flex hours Flex vacation Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs