At a Glance
- Tasks: Collaborate with top researchers to develop innovative ML features for Autodesk products.
- Company: Join Autodesk, a leader in creative software that shapes the world.
- Benefits: Competitive salary, flexible work options, and comprehensive benefits package.
- Why this job: Make a real impact by using AI to transform design and creativity.
- Qualifications: 3+ years in deep learning, proficient in modern techniques and frameworks.
- Other info: Dynamic global team with opportunities for career growth and meaningful work.
The predicted salary is between 80000 - 115000 ÂŁ per year.
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.
As a Senior Machine Learning Engineer at Autodesk Research, you will work side‑by‑side with world‑class researchers and engineers to build new ML‑powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features in Autodesk products. You will report to a research manager in the Autodesk Model Delivery team within Autodesk Research. We are a global team located in London, San Francisco, Vancouver, Toronto, Montreal and remote locations. For this role, we support in‑person, hybrid, and remote work arrangements within commuting distance to one of our offices.
Responsibilities
- Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
- Develop, finetune, and optimize foundation models (LLMs, diffusion models, multimodal models) on large‑scale datasets for CAD/design applications
- Develop new or improve existing ML models used in CAD software
- Process data and analyze feature extractions and model behaviours
- Design solutions based on error analysis and model performance evaluation
- Present results to collaborators, stakeholders and leadership across research and engineering teams
- Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
- Partner with research teams to transition cutting‑edge models into production systems
- Monitor and improve model performance in production environments
Minimum Qualifications
- BSc or MSc in Computer Science or related fields
- 3+ years of deep learning model development and deployment in production scenarios
- Proficiency with modern deep learning techniques (e.g., deep learning model architectures, regularization techniques, learning techniques, loss functions, optimization strategies, etc.) and frameworks (e.g., PyTorch, Lightning, Ray, etc.)
- Experience with version control, reproducibility, and writing reusable, testable code
- Experience with data modelling, architecture, and processing using varied data representations, including 2D and 3D geometry
- Experience with cloud services and architectures (e.g., AWS, Azure, GCP)
- Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
- Proficiency with foundation models, including LLMs, diffusion models, and multimodal models (e.g., CLIP, BLIP) with pretraining and post‑training methods
- Experience with distributed training frameworks and techniques (e.g., DDP, FSDP, DeepSpeed, Megatron)
- Experience optimizing inference performance and latency for production systems
- Experience working across research and engineering teams to productionize cutting‑edge research
- Knowledge of the design, manufacturing, AEC, or media & entertainment industries
- Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
- Contributions to open‑source ML projects or published research in top‑tier venues
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 $123,000 and $180,400. 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 & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive.
Senior Machine Learning Engineer employer: Autodesk
Contact Detail:
Autodesk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former Autodesk employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your expertise and creativity in action.
✨Tip Number 3
Ace the interview! Research common ML interview questions and practice your answers. Be ready to discuss your past projects and how they relate to Autodesk's mission of building a better world.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Autodesk team.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and problem-solving shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and what you can bring to the team.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with deep learning and relevant technologies. We love seeing how your skills align with our needs, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Machine Learning Engineer role. Share specific examples of your work and how it relates to what we do at Autodesk. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Autodesk
✨Know Your ML Models Inside Out
Make sure you’re well-versed in the latest deep learning techniques and frameworks mentioned in the job description. Brush up on your knowledge of foundation models, especially LLMs and diffusion models, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in machine learning. Be ready to explain your thought process, the challenges you faced, and how you collaborated with others to find solutions. This will demonstrate your ability to work effectively within a team.
✨Familiarise Yourself with Autodesk Products
Since the role involves working with CAD software, it’s a good idea to have a basic understanding of Autodesk products. Familiarity with their applications can help you relate your experience to the company’s needs and show your genuine interest in their work.
✨Prepare for Collaborative Discussions
Expect to engage in conversations about transitioning research into production systems. Think about how you’ve worked across teams in the past and be prepared to discuss your approach to collaboration, as this is key for the role at Autodesk.