
Make anything.
Senior or Principal Research Scientist
Required skills
Python
Machine Learning
Job Requisition ID #
26WD94877
Position Overview Autodesk is leading the transformation of the AEC industry, integrating AI technology into ourproducts. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud — and Forma, our new Industry Cloud.As a Senior or Principal Research Engineer, on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.
Responsibilities:
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Lead and collaborate with other engineers to develop scalable data pipelines for diverseAEC data sources used in production ML systems
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Mentor junior engineers and provide technical guidance on complex data engineering challenges
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Work with large-scale, multi-modal datasets including text and geometric data, to designnovel preprocessing, augmentation, analysis and content understanding
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Transform unstructured AEC data into representations suitable for machine learning
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Lead cross-functional collaboration with ML Research Scientists and Engineers to aligndata formats with downstream training and fine-tuning of LLMs
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Apply deduplication, normalization, and validation techniques to ensure high-qualitydata in production environments
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Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
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Drive technical decision-making and influence engineering best practices across the team
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Perform requirements analysis with senior stakeholders, ensuring technical solutionsmeet both immediate project goals and long-term research objectives
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Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights
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Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
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Participate in technical planning and roadmap development
Minimum Qualifications
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MSc or PhD in Computer Science, Engineering, or a related field
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7-10+ years of experience in Machine Learning, Engineering, or related fields
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Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams
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Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures
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Familiarity with machine learning concepts and frameworks and how data is represented for training
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Proficiency in Python and strong software engineering practices
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Ability to translate research ideas into production-grade systems
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Excellent communication skills with ability to influence and guide technical decisions
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Background in Architecture, Engineering, or Construction (AEC)
Preferred Qualifications
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Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, drawing sets)
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Experience with MEP data or systems (e.g., HVAC, electrical, plumbing)
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Experience delivering production ML or data systems
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Strong foundations in core computer science (algorithms, systems, scalability)
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Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as Py Torch
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Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, Sage Maker)
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Experience mentoring senior engineers or leading small technical teams
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Track record of driving technical innovation and best practices
The Ideal Candidate
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You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
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You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
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You easily collaborate with others and are comfortable with minimal direction
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You are constantly striving to learn new technologies and methodologies
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You seek new ways to solve hard problems
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You are unafraid to put your ideas out there and fail fast
Learn More About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $135,000 and $198,000. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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About Autodesk

Autodesk
PublicAutodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.
10,001+
Employees
San Francisco
Headquarters
$50B
Valuation
Reviews
10 reviews
3.9
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
4.1
Career
3.0
Management
3.5
75%
Recommend to a friend
Pros
Flexible schedules and remote work options
Supportive and approachable management
Great team dynamics and friendly coworkers
Cons
Work-life balance challenges and stress
Communication issues
Limited advancement opportunities
Salary Ranges
864 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Machine Learning Engineer
2 reports
$160,615
total per year
Base
$123,550
Stock
-
Bonus
-
$130,000
$191,070
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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