Junior Machine Learning Researcher

Straumann•Andover, MA

3d•Remote

About The Position

The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features. Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
Proficiency in Python and machine learning development workflows.
Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with software development and best practices, including source control systems (e.g., Git).
Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
Excellent written and verbal communication skills.

Nice To Haves

Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
Experience working with medical imaging, computer vision, or image segmentation technologies.
Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.

Responsibilities

Define machine learning and data science requirements for new product features and capabilities.
Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
Design and implement efficient algorithms and data structures for model training and inference.
Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
Define data requirements for training, validation, and performance evaluation.
Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
Support the integration of machine learning solutions into commercial software products.
Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
Assess emerging technologies and recommend opportunities for application within product development.
Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.
Ensure development activities align with applicable quality management systems and medical device regulations.
Support documentation and validation activities required for regulated software products.