What are the responsibilities and job description for the Machine Learning Scientist position at Align Technology?
Description
Role expectations
What we're looking for
This position is ideal for an early-career machine learning scientist to join the AI & Machine Learning team as a Machine Learning Scientist, supporting photo-based diagnostics and remote treatment monitoring. Partnering with other machine learning specialists and product marketing, you’ll provide technical solutions to complex problems in computer vision and 3D data analysis to support Align’s product portfolio. This role is key to building out Align’s core technology capabilities.
Role expectations
- Use data science and machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
- Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives
- Design and implement machine learning techniques to improve treatment planning, customer engagement, and device manufacturing based on historical data
- Collaborate effectively with other data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation
- Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results.
- Identify features and data needed for machine learning solutions.
- Help to deliver a vision for our product evolution using machine learning
- Stay current on the emerging directions in AI-technologies and support the development of the AI/ML roadmap
- Stay current on specific AI-technologies and apply them in an appropriate manner to applicable projects
What we're looking for
- 5 years of relevant experience
- 2 years of machine learning research practice (including graduate work)
- Masters degree or higher in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field.
- Knowledge of machine learning theory and practice.
- 2 years in a data-science-oriented programming language such as Python or R
- Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively.
- Ability to collaborate effectively with developers, program management, and internal customers on objectives, requirements and design constraints in a distributed development environment.
- Able to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
- Experience in developing software in an Agile SDLC
- Experience in collaborative work with users and other technical teams
- Strong background in Computer Vision, Pattern Matching, or Medical Applications.
