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!

Essential Functions:

Designs, develops, and deploys machine learning models for real-world applications.
Builds scalable pipelines for data ingestion, pre-processing, training, and inference.
Owns end to end development of machine learning algorithms including data analysis, feature engineering, model development, training, validation, and performance evaluation.
Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems.
Builds data ingestion and embedding pipelines for efficient indexing and retrieval.
Fine-tunes and adapts LLMs for domain-specific tasks such as instruction tuning, prompt engineering, low-rank adaptation (LoRA), etc.
Engages in both engineering and research, exploring latest ML algorithms, solution architectures, and cutting-edge approaches to improve retrieval and generation performance.
Works with stakeholders to translate business requirements into robust technical solutions that deliver measurable impact.
Works with engineering teams to continuously scale and advance machine learning across the organization.
Identifies new opportunities of applying ML technology to improve business workflows and processes.
Builds a deep understanding of the company’s products, services, data, and customers to deliver impactful solutions.
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.
Minimum three (3) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:
Understands fundamental concepts, practices, and procedures of machine learning field.
Data discovery, data aggregation, and feature engineering with SQL query writing skills.
Training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems.
Logging, tracking, A/B testing, evaluating and analyzing the performance of different machine learning algorithms and models in production.
Strong development skills in Python programming language and have experience in developing data-driven, scalable, and reliable applications with Amazon Web Services (AWS).
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, and object detection.
Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras.
Experience working with relational, non-relational, and high-scale data processing and storage frameworks like Structured Query Language (SQL), AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL.
Experience with AWS Serverless architecture and AWS native services like BedRock, EC2, Lambda, Step Functions, SageMaker, Rekognition, Comprehend, Lex/Polly, and Transcribe.

Pay Range: $117,000 - $146,000/YR

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 recruitment@glidewelldental.com. Please indicate the specifics of the assistance needed.

Job Type: Full-time

Pay: $117,000.00 - $146,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Employee discount
Flexible spending account
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Application Question(s):

How many years of experience do you have with Amazon Bedrock?
Do you have experience deploying Machine Learning models from end to end?
Do you have experience with serverless deployment?
Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?

Experience:

Amazon SageMaker: 2 years (Required)
Python: 2 years (Required)

Work Location: In person

Glidewell Dental

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