Transforming smiles,
changing lives.
Sr. Machine Learning Engineer
Role expectations
As a Senior ML Engineer, you will have the following responsibilities:
- Break down ambiguous business requests into distinct technical problems and determine the appropriate set of ML tools to address each issue
- Collaborate with the development team to develop the architecture of proposed solutions and support the integration of the model into the production pipeline
- Own, maintain, and improve a specific ML component
What we're looking for
- 7+ years of experience in Machine Learning Engineering
- A Bachelor's degree or higher in Computer Science, Machine Learning, Data Science, or a related field is preferred, or equivalent practical experience
- A mathematical background in statistics, probability theory, optimization methods, linear algebra, analytic geometry, and graph theory
- A strong understanding of machine learning and deep learning approaches and algorithms, as well as an understanding of their limitations
- Experience in computer vision tasks such as classification, segmentation, and object detection
- Strong experience with machine learning frameworks such as PyTorch and TensorFlow, and familiarity with modern ML libraries and tools
- Are comfortable documenting your work and can explain the outcomes of your experiments, including what worked and what didn’t
- Have contributed to developing machine learning solutions, preferably for process automation, and are skilled at assessing their impact in real-world settings
- Strong communication skills, with the ability to clearly present technical concepts to other engineers and technical leaders.
- Upper-intermediate English proficiency
- Have experience in 3D ML problems (such as point clouds, meshes, and graphs) and NLP
- Have participated in open-source projects or data science competitions (such as Kaggle) and can showcase your contributions
Technological stack you will be dealing with:
- Python, PyTorch, plotly
- Docker, AWS (S3, EC2)
- Git/Bitbucket, CI/CD tools (such as Bamboo, Jenkins)
- Mlflow/ClearML
- MONAI, MinkowskiEngine
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- Have experience in 3D ML problems (such as point clouds, meshes, and graphs) and NLP
- Have participated in open-source projects or data science competitions (such as Kaggle) and can showcase your contributions
À propos de Align Technology
At Align, every smile matters. We’re committed to helping you thrive by supporting the health, growth, and well-being of our team members through a variety of tools and programs. While specific offerings may vary by location and role, Align employees can typically expect:
- Health and well-being programs to keep you thriving in both body and mind.
- Employee-exclusive discounts on Invisalign products.
- Learning opportunities through online learning resources and support for your individual development plans.
- Inclusive, global workplace that fosters collaboration, recognition and belonging.
Discover Align:
We are a global community of game-changers and smart team players, united by our belief in the power of a smile. Our dynamic team of exceptional employees is dedicated to transforming the industry and creating extraordinary outcomes every day.
As part of our commitment to innovation, Align Technology includes exocad and Cubicure, companies that enhance our offerings and extend our impact to industry transformation.
Eager to learn how we embrace our global differences and nurture employee well-being?
Explore Align's culture here!
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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.
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