Machine Learning Engineer, Pure1

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...

Pure Storage is seeking a machine learning engineer to work on our industry leading predictive analytics product - META.

You will work on building customer facing systems that analyze the petabytes of telemetry data we collect and create insights to help our customers optimize their usage, plan for growth and identify at risk systems. Responsibilities will include

• Work on new engineering projects from start to finish 
• Architect machine learning approaches to a custom problem such as optimizing placement of workloads in a system
• Improve the accuracy of our core models for predicting customer workloads by analyzing the data for new features
• Implement new ML methods such as isolation trees, LSTM's to improve our time series modeling and anomaly detection systems
• Writing production code to run and serve these models
• Writing platforms and pipelines for training and running machine learning models 
• Code review and mentor junior engineers

• A minimum of 5+ years of experience on a data or machine learning team (< 1 year industry experience? Please apply directly to our University roles on our careers page)
• Experience mentoring junior engineers into effective individual contributors
• You know how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis.
• Using Python, Jupyter notebooks, SQL, AWS
• Familiarity with time series analysis
• Familiarity with deep learning architectures, especially RNN's, LSTM's is a plus
• Familiarity with Spark is a plus

#LI-KM1

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%. You don't have to meet all the job requirements. 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, all Pure employees and contractors working in the United States are expected to be fully vaccinated against COVID-19 no later than December 8, 2021. 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.