Machine Learninig Engineer in Seattle, WA at Volt

Job Description

Major technology company is seeking an Machine Learning Engineer – with 5 plus years of professional experience. The ideal applicant will test all the system requirements and perform E2E validation for Accelerated TensorFlow. Also, will be validating the roots/packages provided by Dev to do sanity tests and perform full validation on multiple targeted models. Will test all the system requirements and perform E2E validation for Accelerated Pytorch. The candidate will be validating the roots/packages provided by Dev to do sanity tests and perform full validation on multiple targeted models.

Responsibilities:

Candidate with a deep understanding of machine learning and experience with TensorFlow and PyTorch frameworks. Responsibilities for this position include creating and training machine learning networks (neural networks) using frameworks like TensorFlow and PyTorch; generating traces for these networks and then writing equivalent end-end network tests which use said traces to validate Accelerated TensorFlow and PyTorch on hardware. In addition to creating these tests the candidate will be expected to be able to debug and get these tests running in our automated CI system.

• Strong programming skills in at least one of Python, C, C++, Obj-C or Swift
• Excellent understanding of Machine Learning/Deep Learning and neural networks with extensive experience in frameworks including PyTorch, TensorFlow, Scikit-learn, Keras, etc.
• Has had previous experience developing and creating neural networks from scratch
• Ability to debug networks in deep learning frameworks
• Some experience with automation and CI systems
• In depth knowledge of QA practices and fundamentals

Volt is an Equal Opportunity Employer