Facility: Corporate Office
Relocation Provided: Yes
Education Required: Masters Degree
Experience Required: 5 - 7 Years
Travel Percent: 0
Position Description
Lenovo seeks an expert in the field of machine learning and artificial neural networks to join a small, fast-moving team that is taking state-of-the-art object and speech recognition AI out of the lab and making it work in the challenging world of mobile devices. Lenovo only seeks candidates who are excited about this “last frontier”, the opportunity to design mobile-friendly, time and space efficient neural network architectures and the opportunity to join a team that is dedicated to putting today’s science fiction in the hands of the world.
Responsibilities
Design and propose space and time efficient neural network architectures for mobile platforms
Analyze, evaluate and assist in the design of mobile neural network silicon
Identify and prove out the perfect synthesis of hardware and software for neural network performance that meets competing demands for low-power and real-time performance
Lead and grow a team of machine learning experts; evangelize machine learning across other teams and disciplines in the company.
Position Requirements
Basic Qualifications:
Minimum BS degree in Computer Engineering or Computer Science
5+ years experience in the field of ML and AI
Background in deep learning and convolutional neural networks
Experience with Auto Speech Recognition and Natural Language Processing and Understanding
Preferred Qualifications:
PhD preferred or equivalent expertise in ML and AI
Nuanced understanding of all phases of machine-learning development
8+ years experience in the field of ML and AI
- Optimization strategies
- Network design
- Training
- Testing
- Performance analysis and evaluation methodologies
Conversant with the state-of-the-art in natural language processing, computer vision and sensor technology
Demonstrable successes as a machine learning practitioner
Experience in the intersection of cloud computing and ML
Embedded experience preferred
Knowledge of modern mobile hardware architectures preferred
Good multitasking and communication skills
Not complacent with the status quo
Passionate about innovation and discovery
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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Ciudad: buenos aires
