採用
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
ML systems
Cloud infrastructure
CI/CD
Leadership
Job Requisition ID
26WD95770
Position Overview
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.
We are a global team located in London, San Francisco, Toronto, Vancouver, and remotely, supporting in-person, hybrid, and remote work.
Responsibilities
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Lead and grow a team of ML engineers focused on production ML systems
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Lead model improvements in response to production issues, product feedback, and new research or platform advancements
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Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures
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Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews
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Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions
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Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability)
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Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements
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Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage)
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Partner with platform and product teams to integrate ML capabilities into products
Minimum Qualifications
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BS/MS in CS/Engineering or equivalent experience
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Experience building and operating software systems, including production ML systems
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People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery)
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Experience with cloud infrastructure and production observability (AWS, Azure, or GCP)
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Experience with CI/CD, reproducible deployments, and operating services in production
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Strong written communication and documentation skills
Preferred Qualifications
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Owned an end-to-end production ML service (releases, monitoring, incidents, and improvements)
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Experience with model evaluation, quality metrics, and continuous testing in CI/production
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Experience optimizing inference latency and cost
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Experience deploying large or foundation models in production (performance, scaling, and efficiency tradeoffs)
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Experience with 3D data (geometry/CAD/BIM) and/or generative AI systems is a plus”
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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.
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!
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).
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About Autodesk
Reviews
3.9
10 reviews
Work Life Balance
4.2
Compensation
3.5
Culture
4.0
Career
3.2
Management
3.1
72%
Recommend to a Friend
Pros
Great work-life balance
Strong company culture and team environment
Competitive compensation and benefits
Cons
Recent layoffs and job security concerns
Poor management in some teams
Limited career advancement and promotion opportunities
Salary Ranges
1,443 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate Business Intelligence Analyst
2 reports
$131,955
total / year
Base
$101,504
Stock
-
Bonus
-
$131,955
$131,955
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
50%
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
Culture Fit
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