Machine Learning Engineer

Glidewell Laboratories; Irvine (CA); On-site; USD 113,000 - 115,000; Full time

Job summary

Glidewell Laboratories is seeking a seasoned ML/AI engineer to advance our data products and deliver production-ready ML solutions. You will collaborate with a cross-functional team to design, train, deploy, and monitor models that personalize customer experiences.

The role emphasizes feature engineering, experimenting with algorithms, and building scalable pipelines on AWS. Strong Python, SQL skills and experience with major ML libraries are essential for driving measurable improvements across

Qualifications

• Master’s degree in ML, DL or CS; PhD preferred.
• Strong experience with ML model training, evaluation, deployment and production maintenance.
• Experience in data discovery, aggregation and feature engineering; SQL skills.
• Experience logging, tracking, A/B testing; evaluating performance of ML models in production.
• Proficient in Python and developing data-driven, scalable applications on AWS.
• Experience applying ML to optimization problems like sales prediction, recommendations, sentiment analysis.
• Experience with open source ML libraries (TensorFlow, scikit-learn, PyTorch, XGBoost, LightGBM).

Responsibilities

• Build, deploy, monitor and optimize ML models and automation pipelines.
• Develop personalized experiences from product data and customer insights.
• Collaborate with Machine Learning Engineers to mature ML usage within the organization.
• Identify new opportunities to apply ML to improve business workflows.
• Perform related duties and projects as business needs require at direction of management.

Skills

Python programming

SQL querying

Data-driven development

Collaboration

Problem solving

Education

Master’s degree in ML / DL or CS

PhD preferred

Tools

MxNet/Gluon

TensorFlow

scikit-learn

PyTorch

Keras

xgboost

LightGBM

Turi Create

NVIDIA Digits

SQL

AWS RedShift

Aurora

S3

DynamoDB

MySQL

PostgreSQL

AWS SageMaker

Lambda

Step Functions

EC2

Rekognition

Transcribe

Comprehend

Lex/Polly

Job description

Essential Functions:

• 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.

Education and Experience:

• 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.

Pay Range: $113,000 – 115,000.00/yr