Sundayy
Machine Learning Engineer – Remote
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About The Company
Autodesk is a global leader in 3D design, engineering, and entertainment software. Renowned for its innovative solutions that empower professionals across various industries such as architecture, manufacturing, media, and entertainment, Autodesk is committed to shaping the future of design and making. With a focus on sustainability, creativity, and technological advancement, the company continuously pushes the boundaries of what is possible through its cutting-edge tools and platforms. Autodesk's mission is to help people imagine, design, and create a better world, impacting nearly every person on the planet through its software solutions.
About The Role
We are seeking a talented Machine Learning Engineer to join Autodesk Research. In this role, you will work closely with a team of world-class researchers and engineers to develop and implement innovative ML-powered features that enhance Autodesk's product offerings. Your primary focus will be on building scalable machine learning pipelines, prototypes, and reusable code to support research initiatives and product development. This position offers an exciting opportunity to contribute to projects at the intersection of research and practical application, leveraging your expertise to solve complex problems related to 3D geometry, data processing, and generative AI. The role can be based at our offices in London, UK, or Toronto, Canada, with a hybrid working model that promotes collaboration and flexibility.
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Qualifications
- BSc or MSc in Computer Science, Engineering, or a related field, or equivalent industry experience
- Minimum of 3+ years of experience in machine learning
- Experience in scaling machine learning training and data pipelines
- Proficiency in computational geometry and geometric methods, including mesh or B-Rep models
- Hands-on experience with version control systems, reproducibility practices, and deploying ML models
- Strong background in data modeling, architecture, and processing across various data representations, including 2D and 3D geometry
- Experience working with cloud services and architectures such as AWS or Azure
- Proficiency with modern deep learning frameworks and libraries like PyTorch, HuggingFace, and Ray
- Excellent documentation skills, capable of clearly documenting code, architectures, and experimental results
Responsibilities
- Collaborate with a diverse, global team of researchers and engineers on projects that bridge research and product development
- Support research initiatives by constructing ML pipelines, prototypes, and developing reusable, testable code
- Process and analyze data, including feature extraction and data modeling for 2D and 3D geometries
- Identify and analyze errors in models and processes, and develop solutions to improve performance and accuracy
- Present research findings, progress, and results to stakeholders, including leadership and collaborators
- Assist in deploying machine learning models into production environments, ensuring scalability and reliability
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Benefits
- Competitive salary aligned with experience and geographic location
- Annual cash bonuses and performance-based incentives
- Stock grants and equity options
- Comprehensive health, dental, and vision insurance plans
- Flexible and hybrid working arrangements
- Opportunities for professional development and continuous learning
- Inclusive and collaborative work environment that fosters innovation
Equal Opportunity
Autodesk is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. Our commitment is to ensure that everyone has the opportunity to thrive and contribute to our mission of shaping the future of design and innovation.
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