Machine Learning Engineer

• Works with the team in building, deploying, monitoring, continuously optimizing ML models and developing automated ML models’ training & inference pipelines.

• Works with the team in building a deep understanding of the Company’s products, services, data and customers to facilitate development of personalized and fulfilling experience. Works with the team in diving into machine learning engineering and researching topics including ML algorithms, feature engineering, analysis, modeling, and production deployment.

• Collaborates with Machine Learning Engineers to continue to mature the use of machine learning within the organization.
• Identifies new opportunities of applying ML technology to improve the business workflows and processes.
• Performs other related duties and projects as business needs require at direction of management.

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

Glidewell Laboratories is the industry leader in dental technology due to our agility, speed, and cutting edge technology. We work in a fast-paced and highly sought-after employee-friendly work environment. Behind all of this success is an amazing group of people who are passionate about bringing innovation to the marketplace, while providing quality and affordability to better the lives of people all over the world. If you share in our passion for teamwork and a vision for excellence, let’s talk about a rewarding career at Glidewell!

In addition are the following generous employee benefits: Medical, Dental, Vision, 401K with company match, company-paid life insurance, additional onsite dental services, vacation, holiday, and sick time, employee gym (with fitness classes and meditation room), employee medical/wellness center (with massage therapy and acupuncture), two company subsidized cafes, Internet cafes, employee lounges with big screen TVs, game tables, fun company sponsored events, a diverse work environment with over forty nationalities represented, and much more!