DEEP LEARNING ENGINEER (Cary, NC)
ABOUT BLAIZE
See Your Future with Fresh Eyes
Blaize is at the forefront of next-generation computing, harnessing the power of AI to enable quantum leaps in the value technology provides to improve the way we all work and live.
Blaize offers transformative edge computing solutions for AI data collection and processing at the network's edge, with a focus on smart vision applications such as automobility, retail, security, industrial, and metro.
Blaize is backed by strategic and venture investors such as DENSO, Daimler, SPARX Group, Magna, Samsung Catalyst Fund, Temasek, GGV Capital, Wavemaker, and SGInnovate. Blaize is headquartered in El Dorado Hills, California, and has offices in Campbell, California, and Cary, North Carolina, as well as subsidiaries in Hyderabad, India, and Manila, Philippines.
JOB DESCRIPTION
DEEP LEARNING ENGINEER (Cary, NC)
On the Blaize AI Studio Team, they don't just model data, they build and help assemble custom datasets, manage production edge and cloud deployments, and identify production issues. They are looking for someone to help them continue their evolution and who can work with small amounts of imperfect data and generate reliable results.
Their Deep Learning Research Engineer will be working both independently and with a wide range of people at Blaize. They are looking for a set of skills including strong AI/ML experience with practical and use-able software engineering practices and languages (git, docker, Java and/or C++, Python). You should have been involved in at least 1 or more projects reaching production state.
Experience: 4 years of relevant experience or an equivalent combination of experience and education.
INTERVIEWERS
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ADVICE
An interview consists of two steps. As much as they are interviewing you, you are interviewing the company and its representatives.
Relax and approach the situation with a sense of curiosity, asking, "What will you do for my career?" How will my career progress as a result of my collaboration with you and your team? What type of leader are you, and how much experience do you have managing the careers of your team members?
INTERVIEW PROCESS
There will be three stages to the process:
1) Get to know one another and evaluate if the interviewer and the interviewee are a great fit.
2) Technical questions will be asked, such as how well you can overcome challenges and what your strengths and
weaknesses are and also there will be a test.
3) Meet the team
4) Final round will be a question's session.
WHAT TO EXPECT
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GALLERY
