Machine Learning Engineer

Department:
Information Technology

Location:
Canada-CHQ-Ontario-Toronto

Description
At Align Technology, we believe a great smile can transform a person's life, so we create technology that gives people the confidence to take on whatever's next. We revolutionized the orthodontic industry with the introduction of the Invisalign system, and we have never lost sight of that spirit of innovation. Our diverse and collaborative teams are constantly pushing the boundaries of what's possible.

We are looking for a ML Engineer to join a team responsible for integrating expert knowledge, statistical and machine learning models in the treatment plans. You will work in close collaboration with colleagues from a larger Treatment Planning group and with clinical experts, focusing on machine learning solutions for orthodontic problems. As a ML Engineer, you will design, implement, and train models, and implement them in robust and reliable production solutions.

Role expectations

• Work in an agile team of developers, data engineers and SDETs, and collaborate with other development teams
• Interact closely with clinical experts, project managers, and product owners to understand problems, analyze specifications, formalize functional requirements, and prepare and deliver technical presentations and demos.
• Perform statistical analysis and build machine learning models, perform feature engineering.
• Deliver models to production, monitor their quality, provide further training and incremental improvements.
• Write technical documentation for newly implemented functionality, contribute to verification and validation activities.
• Follow architectural, quality, and regulatory guidelines for medical device software development, demonstrate technical leadership, assist and mentor other developers, and uphold high standards of trust, responsibility, and professionalism.

What We're Looking For

• Bachelor or above degree in Computer Science, Applied Mathematics or relevant engineering disciplines.
• 5+ years of professional experience in machine learning, data science or data analytics roles.
• Practical experience implementing ML solutions in production cloud environments.
• Excellent knowledge of Python, including numpy, pandas, sklearn libraries.
• Excellent knowledge of SQL.
• Basic familiarity with C++ or C#.
• Knowledge of the theoretical foundations of statistical data analysis and hypothesis testing apparatus.

Nice to haves...

• Experience working in highly regulated industries (such as Banking, Financial, Healthcare, Medical Devices, Aerospace, etc.).
• Familiarity with C++ or C#.
• Experience with AWS cloud stack.
• Experience with distributed systems, Spark, Sagemaker, Keras.
• Experience in CAD/CAM or 3D domain.
• Experience with Power BI / Tableau.
• Working knowledge of Git and Atlassian stack (Jira, Bitbucket, Confluence, etc.).

Pay Transparency
If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically.

For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S.

Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

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Equal Opportunity Statement
Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.