Sr Manager, Machine Learning Engineering

Job Requisition ID #

25WD88776

Position Overview

At Autodesk, we are at the forefront of how AI can transform the design and manufacturing industries and help our customers design and make a better world. The growing Machine Learning Team in Product Design and Manufacturing Solutions is looking for a manager to join the team who can help us scale to meet the increasing opportunity to deliver impactful AI capabilities to our customers.The team’s portfolio ranges from early-stage proofs of concept to production deployment of models, and the skillsets cover data engineering, experimentation, model training, cloud infrastructure, software engineering, AI Engineering and ML Ops.

Our team culture is built on collaboration, mutual support, experimentation and continuous learning. As a group, we continuously improve our Machine Learning skills as well as our knowledge of trends and techniques relevant to our industries. We encourage personal development and knowledge sharing.

You will report to the Director of AI Software Development in our Product Design and Manufacturing Solutions division. This position can be fully remote, hybrid, or onsite. The team is a hybrid team located across the USA and Canada, with an in-office presence in the Toronto office.

Learn more about why Autodesk has continually ranked a top place to work by Fortune, Forbes, Glassdoor, and others:  Why Work at Autodesk and examples of the amazing work our customers imagine, design and make. 

Responsibilities

• Lead and mentor a team of ML Engineers in the design and development of core pipelines, infrastructure and tools needed across the ML lifecycle

• Work closely with cross-functional teams to define project goals, success metrics, roadmap, and execution strategies, ensuring alignment with business objectives

• Partner with other ML teams and with ML consumers in the larger organization to understand the emerging needs and translate them into actionable engineering initiatives

• Actively participate in coding review processes, and problem-solving alongside the team

• Stay updated with the latest advancements in AI/ML technologies

• Provide sound technical guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems

• Support the team’s use of best practices in software development, code quality, and security standards

• Manage project timelines and resource allocation to drive deliverables

• Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team

• Promote collaboration with partner teams, minimize duplication of effort, and strengthen the company’s platform strategy by championing innersourcing

• Actively shape the growth of the team to ensure the business is equipped with the technological foundation to correspond with the AI product strategy

Minimum Qualifications

• BS/MS in Computer Science, Engineering, or a related field. (MS preferred)

• Minimum of 3 years of experience in software engineering, with at least 3 years in a leadership or management role

• Experience overseeing projects end-to-end from early development to post deployment stages 

• Ability to plan, execute, and deliver projects timely and efficiently allocate resources and managing workload distribution among team members

• Comfortable making decisions with incomplete information, balancing short- and long- term priorities, and adjusting decisions as new information becomes availableBackground in AI/ML with experience in deep learning, statistical modeling, and neural networks

• Solid understanding of agile software development methodologies and management practices

• Collaborate effectively with cross-functional teams, including product managers, data scientists, and upper management, effectively communicating complex ideas to both technical and non-technical stakeholders to achieve cross-organizationalproject goals

• Ability to foster a collaborative team environment

• Proven leadership in mentoring, motivating, and growing software and ML teams to achieve project goals and meet increasing AI demands, ensuring efficiency and productivity

Preferred Qualifications

• Familiarity with cloud platforms such as AWS, Azure, or GCP, specifically AWS SageMaker and/or containerization technologies (Docker, Kubernetes)

• Understanding of MLOps principles and practices for effectively managing and automating ML workflows, including model versioning, monitoring, and deployment

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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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