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Senior/Principal Machine Learning Engineer, Generative AI
Autodesk
Development and strategic planning for generative AI capabilities in the AEC industry
21d ago
$161,300 - $269,500
Expert & Leadership (13+ years)
Full Time
Boston, MA
Hybrid
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
ml optimization
generative ai
technical planning
data systems
pipeline architecture
technical vision
- Perform hands-on development of data preprocessing, feature extraction, and transformation modules optimized for downstream ML model performance
- Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision to maximize the value of unlabeled data
- Drive strategic technical planning across the team—identifying bottlenecks, proposing long-term architectural improvements, and aligning data/ML infrastructure with product goals
- Lead the design and development of intelligent data processing and characterization systems that transform unstructured inputs (e.g., text, images, geometry) into structured, ML-ready formats
- Stay current with advances in generative AI, foundation models, and data-centric AI—translating research into practical, scalable solutions
- Mentor and support a team of ML engineers, fostering a culture of engineering excellence, curiosity, and technical ownership
- Define and establish best practices for model experimentation, evaluation, and deployment in high-throughput environments
- Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments
- Architect and implement scalable, production-grade data and ML pipelines that support training and fine-tuning of models
- Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data and related attributes into model development workflows
- Own and evolve the model/data feedback loop by monitoring model quality, diagnosing failure modes, and guiding iterative improvements
What you bring
machine learning
deep learning
system design
aws
llms
master's
- Is comfortable working in newly forming ambiguous areas where learning, experimentation and adaptability are key skills
- Is passionate about solving problems for AEC customers (Architecture, Engineering, and Construction) by applying machine learning techniques
- Extensive experience in system design for data preparation, hyperparameter selection, acceleration techniques, and optimization methods
- Proven ability to translate theoretical concepts into practical solutions and prototype implementations
- A Master's degree (or higher) in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics or a related field
- Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices
- Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency
- Is a strategic thinker, capable of shaping and executing long-term data-driven initiatives that align with business objectives
- Experience with Large Models (LLMs and/or VLMs) and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings
- Background in Architecture, Engineering, or Construction
- Proficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model training
- Ability to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementation
- Deep understanding of data modelling, system architectures, and processing techniques, including 2D/3D geometric data representations
- Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)
- 10+ years of work experience in machine learning, data science, AI, or a related field with a proven track record of technical leadership and hands-on implementation
- Is bold and iterative, unafraid to share ideas, experiment, and fail fast
- Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
- Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa Sponsorship- autodesk supports hybrid or remote work in canada or the united states, with a preference for the east coast (us)
- offers are based on the candidate’s experience and geographic location, and may exceed the provided salary range based on various factors including performance, competencies, and business needs.
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Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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