Lead Machine Learning Engineer
Lead Machine Learning Engineer
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1 Vacancy
Job Description
Lead Machine Learning Engineer - NIKE USA INC - Beaverton OR. Develop and program integrated software algorithms to structure analyze and leverage data in product and systems applications in both structured and unstructured environments; develop and communicate descriptive diagnostic predictive and prescriptive insights/algorithms; use machine language and statistical modeling techniques such as decision trees logistic regression Bayesian analysis and others; develop and evaluate algorithms to improve product system performance quality data management and accuracy; use current programming language technologies to translate algorithms and technical specifications into code; complete programming and implement efficiencies perform testing and debugging; complete documentation and procedures for installation and maintenance; apply deep learning technologies to give computers the capability to visualize learn and respond to complex situations; adapt machine learning to areas such as virtual reality augmented reality artificial intelligence robotics and other products that allow users to have an interactive experience; and work with large scale computing frameworks data analysis systems and modeling environments. Telecommuting is available from anywhere in the U.S. except from SD VT and WV.
Employer will accept a Masters degree in Computer Science or Statistics and two (2) years of experience in the job offered or in a computer-related occupation.
Experience must in the following:
Developing and delivering production code in languages such as Python Golang Java and Scala
Frameworks including Spark and Hadoop
AI/ML techniques such as neural networks tree ensembles regressions and hypothesis testing
Building Data and ML pipelines using Scikit-learn Tensorflow spark ML (MLlib) and OpenCV
SQL
Architecting and delivering cloud solutions using Google Cloud and AWS
Recommendation and search algorithms including ALS Neural Nets Clustering personalization techniques time series NLP and image modeling
A/B testing
End-to-end lifecycle of ML systems including ML engineering development and designing and building low latency real-time systems
Delivering and supporting high impact solutions across large datasets to production;
Spark streaming
MLOps and the lifecycle of model development from experimentation to production and measurement and visualization
Apply at (Job # R-62501)
#LI-DNI
We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for in-person interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.
Employment Type
Full Time
