Machine Learning Engineer

This Machine Learning Engineer role at Glidewell Dental builds and improves ML models from research through production, with an emphasis on automated training and inference pipelines.

Responsibilities

• Build, deploy, monitor, and continuously optimize machine learning models.
• Develop automated ML training and inference pipelines.
• Collaborate to gain a deep understanding of company products, services, data, and customers to support personalized experiences.
• Research and apply ML engineering topics including ML algorithms, feature engineering, analysis, modeling, and production deployment.
• Work alongside Machine Learning Engineers to mature and expand the organization’s machine learning usage.
• Identify new opportunities to apply ML to improve business workflows and processes.
• Complete other related duties and projects as directed by management.

Requirements

• Master’s degree in Machine Learning, Deep Learning, or a computer science-related field.
• PhD preferred.
• Prior relevant working experience required.
• Strong understanding of fundamental ML concepts, practices, and procedures.
• Data discovery, data aggregation, and feature engineering experience; excellent SQL query writing skills preferred.
• Experience training, evaluating, optimizing, deploying, and maintaining ML models on production systems preferred.
• Experience with logging, tracking, A/B testing, and evaluating and analyzing performance of different ML algorithms and models in production preferred.
• Application development experience and strong Python skills; development of data-driven, scalable, reliable applications preferred, with AWS experience preferred.
• Experience applying machine learning algorithms to optimization problems preferred, including customer sales prediction, recommendation engines, sentiment analysis, deep learning for image and natural language, customer segmentation/clustering, and object detection.
• Experience with popular open source ML/Deep learning libraries preferred, including MxNet/Gluon, Tensorflow, scikit-learn, pandas, pyTorch, Keras, xgboost, LightGBM, Turi Create, and Nvidia Digits.
• Experience with relational, non-relational, and high-scale data processing and storage frameworks preferred, including SQL, AWS RedShift, Aurora, S3, DynamoDB, MySQL, and PostgreSQL.
• Experience with AWS Serverless architecture and AWS native services preferred, including EC2, Lambda, Step Functions, SageMaker, DeepLens, Rekognition, IoT, GreenGrass, Comprehend, Lex/Polly, and Transcribe.

Technologies

• Python
• SQL
• AWS
• MxNet/Gluon
• Tensorflow
• scikit-learn
• pandas
• pyTorch
• Keras
• xgboost
• LightGBM
• Turi Create
• Nvidia Digits
• AWS RedShift
• Aurora
• S3
• DynamoDB
• MySQL
• PostgreSQL
• EC2
• Lambda
• Step Functions
• SageMaker
• DeepLens
• Rekognition
• IoT
• GreenGrass
• Comprehend
• Lex/Polly
• Transcribe

Location

• Irvine, CA (onsite)

Pay Range

• $113,000 - 115,000.00/yr