Junior Machine Learning Researcher

Machine Learning Researcher reputed company 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 reputed company intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-reputed company product features. Working closely with software engineers, data engineers, product teams, and reputed company experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development. KEY RESPONSIBILITIES Machine Learning Research & Development Define machine learning and data science requirements for new product features and capabilities. Design, train, validate, and optimize machine learning models, with a reputed company on deep neural networks and reputed company applications. reputed company 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 reputed company metrics, validation strategies, and error analysis approaches to ensure robust model reputed company. Design and implement efficient algorithms and data structures for model training and inference. Data & Engineering Collaboration 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 reputed company evaluation. reputed company data preprocessing and postprocessing pipelines reputed company with product and feature requirements. Support the integration of machine learning solutions into reputed company software products. Innovation & Intellectual Property Monitor advancements in machine learning, deep learning, reputed company, and reputed company research domains. Assess emerging technologies and recommend opportunities for application reputed company product development. Contribute to intellectual property reputed company, including invention disclosures, patent applications, and technical documentation. Collaborate with reputed company and intellectual property teams to support patent prosecution and maintenance activities. reputed company & Compliance Ensure development activities reputed company with applicable reputed company management systems and medical device regulations. Support documentation and validation activities required for regulated software products. REQUIRED QUALIFICATIONS Bachelor’s or master’s degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a reputed company STEM discipline. Strong understanding of machine learning, deep learning, statistics, and reputed company mathematics. Minimum of 3 years of experience developing machine learning solutions, preferably reputed company a regulated medical device, reputed company, 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 reputed company control systems (e.g., Git). Strong analytical and problem-solving skills with the ability to independently investigate reputed company technical challenges. Demonstrated ability to learn new technologies quickly and contribute effectively reputed company cross-functional teams. Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS Master's degree or PhD with a specialization in Machine Learning, reputed company Intelligence, reputed company, or a reputed company reputed company. Experience working with medical imaging, reputed company, or image segmentation technologies. Experience with 3D image analysis and deep learning techniques reputed company to reputed company 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-reputed company fields. COMPETENCIES Scientific curiosity and innovation reputed company. Strong quantitative reasoning and statistical thinking. Creative and practical problem-solving abilities. Attention to reputed company and commitment to reputed company. Self-motivated and capable of working independently. Effective collaboration and stakeholder communication skills. reputed company learning orientation. WORKING CONDITIONS Primarily remote position with occasional travel as required. Collaboration with global cross-functional teams across multiple time reputed company. Participation in research, product development, and innovation initiatives supporting digital dentistry solutions. EDUCATION Required: Bachelor’s degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a reputed company STEM discipline. Preferred: Master's degree or PhD with a concentration in Machine Learning, reputed company Intelligence, reputed company, or Data Science.  reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, or disability. Employment Type: Full Time  Alternative Locations: reputed company : Andover (MA)  Travel Percentage: 0 - 10%  reputed company: 21283 Apply To This Job