Glidewell Dental Careers

Description

• Oversees assigned staff including but not limited to scheduling, directing, assigning work, and ensuring tasks/projects are completed in a timely manner and adheres to operational standards.
• Motivates employees, assists in goals setting, provides development opportunities and performance feedback, mentors, and addresses complaints and provides resolutions.
• Drives a data culture throughout the company and solves data use cases using transactional and customer interaction data. 
• Partners with data engineering team to implement data infrastructure and models to support machine learning development.
• Owns all phases of machine learning development lifecycle from gathering business requirements, design and modeling, development, deployment, and support.
• Responsible for the management and execution of project plans and delivery commitments. Manages the day-to-day activities of the engineering team within an Agile/Scrum environment.
• Collaborates with stakeholders and management to translate product visions, business cases and user experiences into technical requirements, scopes development efforts and assigns resources to execute against prioritized product roadmaps.
• Leads the machine learning and software engineering team in solving complex business problems using AI/Machine Learning and real-time dashboards.
• Defines and leads technology strategies, team direction, resolves problems and provides guidance to the team.
• Partners with internal team members to define and ensure data science best software engineering practices.
• Provides technical mentorship in machine learning engineering and research topics including features engineering, analysis, modeling, and production deployment.
• Drives efficiencies and best practices across teams.
• Keeps abreast of new technology and trends and makes recommendations and implements improvements/upgrades as necessary.
• 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.
• Minimum five (5) years of relevant working experience required. Understands fundamental concepts, practices, and procedures of ML field.
• Minimum five (5) years of experience in data discovery, data aggregation and feature engineering with excellent SQL query writing skills required.
• Minimum five (5) years of experience in training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems required.
• Minimum five (5) years of experience in logging, tracking, A/B testing, evaluate and analysis the performance of different ML algorithms and models on production systems required.
• Minimum five (5) years of experience in application developing and strong development skills in Python programming language and have experience in developing data-driven, scalable, and reliable applications with AWS required.
• Minimum five (5) years of 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 required.
• Minimum five (5) years of 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 required.
• Minimum five (5) years of experience in working with relational, non-relational, and high-scale data processing and storage frameworks like SQL, AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL required.
• Minimum five (5) years of experience with AWS Serverless architecture and AWS native services.
• Minimum five (5) years of experience in AI/Machine Learning.
• Minimum one (1) year of experience managing and leading a team of Machine Learning Engineers and Software Engineers.
• Experience in machine learning techniques such as GLM/Regression, Random Forest, Boosting, Trees, Bayesian Optimization, etc. required.
• Hands-on experience in creating dashboards in Tableau or equivalent tools required.
• Hands-on experience with AWS Services like EC2, Lambda, Step Functions, SageMaker, DeepLens, Rekognition, IoT, GreenGrass, Comprehend, Lex/Polly, and Transcribe required.
• Passion for data and providing business solutions using AI and Machine Learning.

Pay Range: $125,906.85 - 160,000.00/yr 

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!

Glidewell Laboratories is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. We are committed to the principle of equal employment opportunity for all employees and to provide employees with a work environment free of discrimination and harassment on the basis of race, color, religion, national origin, sex, age, physical or mental disability, veteran status, sexual orientation, gender identity, genetic information, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at [email protected]. Please indicate the specifics of the assistance needed.

Note to Current employees: Please apply through Employee Transfer Application to complete the transfer request form.