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Autodesk
Autodesk

Make anything.

Senior or Principal Research Scientist

RoleData Science
LevelStaff
LocationToronto, ON, Canada
WorkOn-site
TypeFull-time
Posted1 month ago
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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:

  • Lead and collaborate with other engineers to develop scalable data pipelines for diverseAEC data sources used in production ML systems

  • Mentor junior engineers and provide technical guidance on complex data engineering challenges

  • Work with large-scale, multi-modal datasets including text and geometric data, to designnovel preprocessing, augmentation, analysis and content understanding

  • Transform unstructured AEC data into representations suitable for machine learning

  • Lead cross-functional collaboration with ML Research Scientists and Engineers to aligndata formats with downstream training and fine-tuning of LLMs

  • Apply deduplication, normalization, and validation techniques to ensure high-qualitydata in production environments

  • Architect and optimize pipelines for scalability, reproducibility, and cloud deployment

  • Drive technical decision-making and influence engineering best practices across the team

  • Perform requirements analysis with senior stakeholders, ensuring technical solutionsmeet both immediate project goals and long-term research objectives

  • Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights

  • Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs

  • Participate in technical planning and roadmap development

Minimum Qualifications

  • MSc or PhD in Computer Science, Engineering, or a related field

  • 7-10+ years of experience in Machine Learning, Engineering, or related fields

  • Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams

  • Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures

  • Familiarity with machine learning concepts and frameworks and how data is represented for training

  • Proficiency in Python and strong software engineering practices

  • Ability to translate research ideas into production-grade systems

  • Excellent communication skills with ability to influence and guide technical decisions

  • Background in Architecture, Engineering, or Construction (AEC)

Preferred Qualifications

  • Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, drawing sets)

  • Experience with MEP data or systems (e.g., HVAC, electrical, plumbing)

  • Experience delivering production ML or data systems

  • Strong foundations in core computer science (algorithms, systems, scalability)

  • Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as Py Torch

  • Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, Sage Maker)

  • Experience mentoring senior engineers or leading small technical teams

  • Track record of driving technical innovation and best practices

The Ideal Candidate

  • You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques

  • You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills

  • You easily collaborate with others and are comfortable with minimal direction

  • You are constantly striving to learn new technologies and methodologies

  • You seek new ways to solve hard problems

  • 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

Autodesk

Public

Autodesk, 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