AI/ML Job: Deep Learning Innovation Engineer


Deep Learning Innovation Engineer at Intel

๐Ÿ‡บ๐Ÿ‡ธ United States โ€บ Oregon โ€บ Hillsboro   (Posted Jul 18 2019)

About the company
Intel's strategic equity investment group, Intel Capital, manages one of the largest corporate venture programs in the technology segment, with worldwide investments and support. Holding equity stakes in more than 550 companies worldwide, Intel's investments outside of the United States span over more than 20 countries across 5 continents. Intel Capital is responsible for investing in technology companies to increase demand for existing products and services, ultimately expanding new business objectives for Intel.

Job description
As a Deep Learning Software Engineer at Intel Sports Pathfinding, you will be a part of a dynamic research and development team, working with a variety of technologies including 2D and 3D media, virtual and augmented reality, and deep learning models to build technical proof of concepts and experiences that demonstrate the next generation of sports media consumption. You will work in domains such as, but not limited to: image processing, pattern recognition, video rendering, and computer vision.

The responsibilities will include, but not limited to:

- Solve problems with deep learning in computer vision.

- Development and optimizations of state-of-the-art deep learning models using frameworks such as TensorFlow, PyTorch, etc.

- Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale.

- Integrate components from internal teams and deliver technology prototypes or full applications to our product teams.

- Work with our product team to help them integrate successful prototypes into their product pipeline.

Skills & requirements
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.

Minimum Required Qualifications:

Bachelor in Computer Engineering, Computer Science, Math, or other science/engineering related field.

4+ years of experience in the following areas:

Write code in one or more of the following languages: Python, C/C++, or CUDA.

Deep Learning Technologies: Experience in machine learning, neural networks, recommendation systems, information retrieval.

Parallel computing or cloud architecture.

Computer vision and/or image processing algorithms.

Additional Preferred Qualifications:

MS or PhD in Computer Engineering, Computer Science or Math.

Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.).

Worked on an innovation environment and demonstrated ability to innovate solutions to technical challenges.

Familiarity with game development process.

Understanding of performance characteristics of large-data computations. This includes understanding how software interacts with hardware, and how nave interactions between CPU/GPU/Memory/Disk/Network/Accelerators can greatly hinder performance.

Experience in Git software revision control.

Experience in scripting environments, e.g. Linux and Windows shell scripting and Windows Powershell.

Some exposure to software design patterns, such as Singleton, Prototype, Factory, etc.

Apply now!  

Other machine learning jobs that might be interesting

Machine Learning Engineer - Stripe   (March 2021)
Remote US, 100% Remote
Machine Learning Engineer, Fraud Intelligence Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that t...
Senior Fullstack Engineer: Greenfield Machine Learning Initiatives - GitLab   (March 2021)
Worldwide, 100% Remote
Those in Single Engineer Groups (SEG) at GitLab work in the engineering department to initiate a planned or minimal maturity category into the GitLab project. The MLOps single engineer group has a focus on MLOps, which will be focused on enabling data teams to...
Research Intern - Deep Learning - Microsoft   (February 2021)
Remote US/Canada, 100% Remote
Virtual Internship Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship. Research Internships at Microsoft provide a dynamic environment for research care...
Machine Learning Engineering and Data Science Engineering Roles - Salesforce   (February 2021)
San Francisco, California, United States (Remote work possible)
Locations: California - Remote California - Palo Alto California - San Francisco Massachusetts - Remote Massachusetts - Boston Massachusetts - Burlington Massachusetts - Cambridge Massachusetts - Somerville Washington - Bellevue Machine Learning Engi...
Senior Machine Learning Engineer - UiPath   (February 2021)
Bellevue, Washington, United States
At UiPath we see boundless potential in the way we live. It drives the way we work. Our culture is our most valuable asset, that's why it acts like a compass to us. Weโ€™re fast, immersed, humble and bold. And thatโ€™s not just words on the walls. Eliminating...
Not the machine learning job you are looking for?
Browse all machine learning jobs and we're sure you will find a suitable one!
Browse machine learning jobs with similar combinations of skills
Machine learning jobs with caffe Machine learning jobs with git Machine learning jobs with linux Machine learning jobs with python Machine learning jobs with tensorflow Machine learning jobs with pytorch