Machine Learning Engineer

Glidewell Dental • Irvine, CA

11d • $113,000 - $115,000

About The Position

The Machine Learning Engineer works with the team to build, deploy, monitor, and continuously optimize machine learning models, as well as develop automated model training and inference pipelines. The role involves developing a strong understanding of the company’s products, services, data, and customers to support personalized customer experiences; researching machine learning algorithms, feature engineering, analysis, modeling, and production deployment; and helping mature the organization’s use of machine learning. The engineer also identifies opportunities to apply machine learning to improve business workflows and processes and performs other related duties and projects as business needs require, at management’s direction.

Requirements

• Master’s degree in Machine Learning, Deep Learning, or a computer science-related field.
• Previous relevant work experience.
• Understanding of fundamental machine learning concepts, practices, and procedures.

Nice To Haves

• PhD.
• Experience in data discovery, data aggregation, and feature engineering, with excellent SQL query-writing skills.
• Experience training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems.
• Experience with logging, tracking, A/B testing, and evaluating and analyzing the performance of machine learning algorithms and models on production systems.
• Application development experience and strong Python programming skills; experience developing data-driven, scalable, and reliable applications with AWS.
• Experience applying machine learning algorithms to optimization problems such as customer sales prediction, recommendation engines, sentiment analysis, deep learning with images and natural language, customer segmentation and clustering, and object detection.
• Experience with open-source machine learning and deep learning libraries such as MxNet/Gluon, TensorFlow, scikit-learn, pandas, PyTorch, Keras, XGBoost, LightGBM, Turi Create, and Nvidia Digits.
• Experience with relational and non-relational databases and high-scale data processing and storage frameworks such as SQL, AWS Redshift, Aurora, S3, DynamoDB, MySQL, and PostgreSQL.
• Experience with AWS Serverless architecture and AWS services such as EC2, Lambda, Step Functions, SageMaker, DeepLens, Rekognition, IoT, GreenGrass, Comprehend, Lex/Polly, and Transcribe.

Responsibilities

• Build, deploy, monitor, and continuously optimize machine learning models with the team.
• Develop automated machine learning model training and inference pipelines.
• Develop an understanding of the company’s products, services, data, and customers to facilitate personalized experiences.
• Research machine learning algorithms, feature engineering, analysis, modeling, and production deployment.
• Collaborate with Machine Learning Engineers to mature the organization’s use of machine learning.
• Identify opportunities to apply machine learning to improve business workflows and processes.
• Perform other related duties and projects as business needs require, at management’s direction.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level