Glidewell Dental · 3 weeks ago
Machine Learning Engineer II
Glidewell Dental is a company focused on innovative dental solutions, and they are seeking a Machine Learning Engineer II. This role involves designing and deploying machine learning models, building scalable data pipelines, and collaborating with stakeholders to develop impactful technical solutions.
BiotechnologyDentalManufacturingMedical
Responsibilities
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
Qualification
Required
Master's degree in Machine Learning, Deep Learning, or a computer science-related field
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
Preferred
PhD preferred
Company
Glidewell Dental
Glidewell is America’s largest digital dental lab, pioneering industry-first innovations that expand what’s possible in restorative dentistry.
H1B Sponsorship
Glidewell Dental has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (28)
2023 (18)
2022 (23)
2021 (30)
2020 (38)
Funding
Current Stage
Late StageRecent News
EIN Presswire
2025-09-12
2025-05-17
Company data provided by crunchbase