The technology and business landscape is constantly changing, but the one thing that never changes is the need for great talent to drive innovation.
The goal of the Extreme Blue Technical Leadership Program is to solve real and challenging business problems using cutting edge technology for clients, and in Extreme Blue's 21 years, this has resulted in over 600 patent disclosures being filed by the members of this program.
Your Role and Responsibilities As a Data Scientist / Machine Learning Engineer Intern in Extreme Blue, you ll be tackling cutting edge AI and solving predictive problems on an accelerated timeline.
The best candidates will have experience working with both supervised and unsupervised methods, cleaning and working with imperfect data, and integrating your models into full systems.
You ll be working with a cross-functional team to build a whole application, and expected to work within your team to contribute to the whole project, even outside your domain.
If you are looking for a challenge and to grow your skillsets into other domains, both technical and business, we want you!
Required Technical and Professional Expertise
- Basic knowledge of statistical programming in a language such as Python or R
- Proven experience working with statistical models
Preferred Technical and Professional Expertise
- Familiarity with common tools like numpy, pandas, sci-kit learn, tensorflow, keras, etc
- Familiarity with feature engineering - Familiarity with data cleaning
- Familiarity with unsupervised models About Business Unit
Being part of an Extreme Blue (EB) team is like being in a business/task force that must create a solution for their client.
EB ers are entrusted to work in small, autonomous project teams of business and technical students, alongside the guidance of IBM project mentors and the support of a dedicated senior staff.
This combination creates a team dynamic that fosters collaboration, risk-taking, and leadership.
We push EB ers to build a business and technical case for their project, while setting goals to ensure the end deliverable is Extreme enough to survive a competitive marketplace.
Extreme Blue ers work on leading cutting edge technology, utilize Enterprise Design Thinking and Agile principles, and present to high-level executives; all to help grow your skills and make you a more attractive candidate in the field of technology., EB ers in this high-performance environment get to roll up their sleeves and work with hot technologies like Artificial Intelligence, Data Science, Cloud and more.
Your Life @ IBM Are you craving to learn more?
Prepared to solve some of the world's most unique challenges?
And ready to shape the future for millions of people?
If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story.
Together, we have the power to make meaningful change to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It's time to define your career. About IBM
IBM s greatest invention is the IBMer.
We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
Now it s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Location Statement Supplemental 1 employees may be eligible for paid holidays, paid sick time and Employee Stock Purchase Plan.
IBM will not be providing visa sponsorship for this position now or in the future.
Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
We consider qualified applicants with criminal histories, consistent with applicable law.
Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.
IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Location/Region: San Jose, CA (95101)