Machine Learning Engineering Manager, Model Delivery
Autodesk · United States
- Hybrid
- Full-time
- $200,000 / year
- United States
Job highlights
- Lead ML engineers in production systems.
- Drive ML model improvements and releases.
- Ensure ML feature reliability and performance.
- Collaborate with research and product teams.
- Hands-on leadership in ML operations.
About the role
Machine Learning Engineering Manager, Model Delivery
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 Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, you will lead production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This is a hands-on leadership role, combining people leadership with hands-on technical work. You’ll help deliver and operate ML systems that include 2D/3D generative models and other AI capabilities used across Autodesk products.
You will report to the Head of Model Delivery within Autodesk Research. This role is based in proximity to our North American Autodesk offices, including San Francisco, Portland, Boston, Toronto, Montreal, and Vancouver. We support both in-person, hybrid, and remote work.
Responsibilities
- Lead and grow a team of ML engineers focused on production ML systems
- Lead model improvements in response to production issues, product feedback, and new research or platform advancements
- Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures
- Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews
- Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions
- Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability)
- Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements
- Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage)
- Partner with platform and product teams to integrate ML capabilities into products
Minimum Qualifications
- BS/MS in CS/Engineering or equivalent experience
- Experience building and operating software systems, including production ML systems
- People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery)
- Experience with cloud infrastructure and production observability (AWS, Azure, or GCP)
- Experience with CI/CD, reproducible deployments, and operating services in production
- Strong written communication and documentation skills
Preferred Qualifications
- Owned an end-to-end production ML service (releases, monitoring, incidents, and improvements)
- Experience with model evaluation, quality metrics, and continuous testing in CI/production
- Experience optimizing inference latency and cost
- Experience deploying large or foundation models in production (performance, scaling, and efficiency tradeoffs)
- Experience with 3D data (geometry/CAD/BIM) and/or generative AI systems is a plus
- Familiarity with CAD, BIM, manufacturing, AEC, or media workflow
If you’re excited about this role but don’t meet every qualification, we encourage you to apply.
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $148,500 and $266,200. 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.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We 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).
Key skills/competency
- Machine Learning Engineering Manager
- Model Delivery
- Production ML Systems
- Cloud Infrastructure
- CI/CD
- Observability
- Team Leadership
- ML Model Evaluation
- Generative AI
- Autodesk
Skills & topics
- Machine Learning Engineering Manager
- MLOps
- Model Delivery
- Autodesk
- Generative AI
- Cloud Computing
- Production ML
- AI
- Leadership
- Software Engineering
How to get hired
- Research Autodesk's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to innovation and making a better world.
- Tailor your resume: Highlight your experience in building and operating production ML systems, people leadership, and cloud infrastructure, using keywords from the job description like 'ML Engineering Manager' and 'Model Delivery'.
- Showcase technical depth: Prepare to discuss your experience with CI/CD, production observability (AWS, Azure, GCP), and leading ML model improvements, model evaluation, and inference optimization.
- Prepare for leadership questions: Be ready to discuss your people leadership or technical leadership experience, including mentoring, setting direction, and driving delivery.
- Understand the impact: Articulate how your skills can contribute to Autodesk's mission of empowering creative people and shaping the future of how things are made.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Machine Learning Engineering Manager role at Autodesk?
- The Machine Learning Engineering Manager at Autodesk will lead production ML engineering, focusing on deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features, including 2D/3D generative models and AI capabilities.
- What kind of ML systems will I be working with as a Machine Learning Engineering Manager at Autodesk?
- You will be working with ML systems that include 2D/3D generative models and other AI capabilities used across Autodesk products, with a focus on production ML engineering for deployment, monitoring, and operational excellence.
- What are the key responsibilities for this Machine Learning Engineering Manager position?
- Key responsibilities include leading and growing an ML engineering team, driving model improvements, managing production release processes, building observability practices, developing evaluation frameworks, and leading reliability/performance improvements for ML inference and serving.
- What are the minimum qualifications for the Machine Learning Engineering Manager role at Autodesk?
- Minimum qualifications include a BS/MS in CS/Engineering or equivalent experience, experience building/operating production ML systems, people or technical leadership experience, cloud infrastructure and observability experience (AWS, Azure, GCP), and CI/CD experience.
- Does Autodesk offer remote work options for this Machine Learning Engineering Manager position?
- Yes, Autodesk supports in-person, hybrid, and remote work for this role, which is based in proximity to their North American offices.
- What is the expected salary range for the Machine Learning Engineering Manager position in the U.S.?
- For U.S.-based roles, the expected starting base salary is between $148,500 and $266,200, with offers based on experience and location. The compensation package may also include bonuses, stock grants, and benefits.
- What preferred qualifications would make a candidate stand out for the Machine Learning Engineering Manager role?
- Preferred qualifications include owning an end-to-end production ML service, experience with model evaluation and continuous testing, optimizing inference latency/cost, deploying large models, and familiarity with 3D data or generative AI systems.