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Machine Learning/Deep Learning Expert
Ref No.: 17-15771
Location: Cupertino, California
Job Description:

Candidate will be asked to identify and apply appropriate methods to process and analyze large datasets of labeled and unlabeled records (10GB to 100TB). Each record consists of image data, parametric, and categorical data. The tasks may include classification via supervised/unsupervised learning, automated feature generation (eg. auto encoders), and direct image to label classification. Candidate should be open to some (less than 2 weeks) international travel for potential project/or station bring up

Key Qualifications:
5-10 years experience working with large datasets (100s of TBs), proficient using tools like, Pandas, Torch, Caffe, TensorFlow.
3-5 years experience developing machine learning algorithms using image data as training inputs
knowledge of image processing

(Other good qualifications:

• Certification/completion of online courses like Coursera's Machine Learning, Neural Networks class, Udacity's Machine Learning Engineer, Artificial Intelligence Engineer Nanodegree.
• Competing and winning Kaggle Client competitions.)

Education:
• Minimum: Bachelors in engineering/mathematics with a focus on machine learning and 5-10 years of relevant experience.
• Desired: Masters or higher in engineering/mathematics with a focus on machine learning and 3 years of relevant experience.

Candidate should be open to some (less than 2 weeks) international travel for potential project/or station bring up