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Venue of walk-in interview: LTI hire event location @ Austin, TX 78731
Date: 01-Jun-2019 (Saturday)
Time: 09:30 am to 04:00 pm (CDT)
How to apply:
Levels: Senior
No pf positions: 5
Type of job: All are regular full-time positions based at Austin, TX.
Role:
Key qualifying skills:
Other desirable skills (any):
Education:
LTI values diversity and inclusion and is committed to the principles of Equal Employment Opportunity EEO - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.
Venue of walk-in interview: LTI hire event location @ Austin, TX 78731
Date: 01-Jun-2019 (Saturday)
Time: 09:30 am to 04:00 pm (CDT)
How to apply:
Levels:
No pf positions: 11
Type of job: All are regular full-time positions.
Roles:
Key qualifying skills:
Must have recent demonstrable experience having worked in developing and integrating multi-tier enterprise environment, including but not limited to architecture, design, development from ground up. Core skills our team is interested in seeing are
Other desirable skills (any):
Education:
LTI values diversity and inclusion and is committed to the principles of Equal Employment Opportunity EEO - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.
One day after President Donald Trump's national security adviser, John Bolton, said North Korea's missile launches earlier this month violated a U.N. Security ...
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Trump's scorched-earth offensive against Democrats is a clear sign he sees his path to reelection as being paved through battles with his opponents.
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Job Summary :
- As an ATG member you will function as an individual contributor for a major Advanced Technology project. You will contribute to the Advanced Technology strategic roadmap which determines which Advanced Technology projects we may fund in the future.
- You will evangelize Advanced Technology both within and outside of NetApp. You will consult with other projects and ATG members on technical direction for ATG.
- You will be encouraged to publish in leading conferences and journals. You will be encouraged to participate in industry standard bodies and you could play active role in expanding the role of ML through such activities.
- You will help increase our Advanced Technology patent portfolio.
- You will help grow the ATG team through recruiting both in industry and university. You would develop and apply latest analytics, machine learning and big data technologies to various systems problems.
- You will be encouraged to cultivate and lead one or more university relationships.
- Responsibilities include proposing and sponsoring university research projects as well as overseeing one or more summer interns at Netapp.
- As a contributing member of ATG you will help define the future of storage for the next five years. You'll have the opportunity to work for a company consistently rated one of the best places to work, a choice of both technical and management career development tracks, and work in a collaborative engineering environment.
If you have a passion to take raw ideas and bleeding edge technology from the lab all the way to product and into the hands of customers that significantly improves how they use and manage data and information, then ATG at Netapp is the place for you. Experience in developing and apply latest analytics, machine learning and big data technologies to systems problems would be a great advantage.
Basic Qualification :
- Broad knowledge of computer science and systems fundamentals
- Experience using machine learning techniques/algorithms in predictive modeling and analysis, preferably for systems related problems.
- Experience in using analytics techniques like Regression, Classification, Clustering, Markov Chains and Time Series
- Experience in using Java/Python/R/Matlab or any other statistical software
- Strong design and programming skills
- Excellent communication and data presentation skills
- Strong desire to influence future products
Preferred Qualification :
- Exposure to Big Data, machine learning and data mining, large scale computing systems like, Hadoop and MapReduce
- Knowledge of storage research in academia
- Knowledge of advanced storage technology in industry
- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
- Patent portfolio a plus
- Experience working with distributed systems
- Performance analysis of complex systems
Education :
- MS degree in Computer Science or Computer Engineering (or equivalent); PhD preferred
- Industry experience of 4+ years with a minimum of 3 years in machine learning/big data analytics
- Highly desired to have taken Course on Machine Leaning
- Highly desired to have applied or develop machine learning related algorithms for system related problems as part of the thesis
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