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# Machine Learning Engineer

- **Company:** Glidewell Laboratories.
- **Location:** Irvine, CA, United States
- **Salary:** $113,000.0 - $115,000.0
- **Contract:** Permanent contract
- **Skills:** Mxnet, A/B Testing, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Discovery, Data Normalization, Amazon DynamoDB, Python (Programming Language), Lex (Software), PostgreSQL, Machine Learning, MySQL, Object Detection, Open Source Technology, Tensorflow, Sentiment Analysis, Software Deployment, SQL Databases, Data Logging, Data Processing, Feature Engineering, Pytorch, Delivery Pipeline, Deep Learning, Keras, Pandas, Scikit Learn, Information Technology, Data Analytics, Xgboost, Serverless Computing, Amazon Redshift
- **Published:** November 1, 2026
- **Apply:** https://www.dice.com/job-detail/21c9547f-d5c0-40db-95ce-4f9c7b361d8a

## About the Role

* 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.

## Description

* 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.