Sr. Engineering Manager, Data & AI/ML

25WD87216

• Build and lead a team of highly talented ML engineers.
• Manage a team of data engineers and analysts to ensure efficient operations and robust design solutions.
• Implement best practices for the software development life cycle, system integrations, security, performance, and data management.
• Drive end-to-end data and ML workflows for domain-specific use cases.
• Collaborate with Product Management and stakeholders to understand requirements, evaluate new features, and develop technology roadmaps.
• Partner with architects and technical leads to create impactful solutions.
• Build an inclusive culture, mentor team members, and empower teams to achieve their full potential.
• Foster a culture of innovation, continuous improvement, and excellence in software development, Machine Learning, and data engineering.

Minimum Qualifications:

• BSc or MSc in Computer Science, Computer Engineering, or equivalent industry experience.
• 8+ years of experience managing software development, data engineering, and/or ML teams.
• Proficiency in SQL optimization, performance tuning, and programming languages like Python, PySpark, Scala, etc.
• Experience with training and deploying PyTorch codebases.
• Proven track record of deploying production ML models.
• Expertise in ETL pipelines and orchestration tools like Airflow.
• Experience delivering production applications with AWS or similar platforms.
• Familiarity with modern software practices including CI/CD, Infrastructure-as-Code, version control, unit tests, and code documentation.
• Ability to document progress and provide proactive updates to partners and leadership.
• Skill in managing, influencing, and resolving complex and ambiguous issues.
   

Preferred Qualifications:

• Hands-on expertise in ETL pipelines, data engineering tools, and infrastructure.
• Proficiency in building machine learning models—supervised and unsupervised (e.g., clustering, regression, classification, anomaly detection, time series).
• Expertise in statistical programming languages (e.g., Python), database query languages (e.g., SQL), and ML packages (e.g., scikit-learn, pandas, xgboost).
• Applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, and A/B testing.
• Experience with AWS models (e.g., Lama, Claude, or Amazon Titan).
• Knowledge of NOSQL databases (e.g., Dynamo DB, S3 buckets) and distributed databases (e.g., Snowflake).
• Familiarity with data visualization tools (e.g., Power BI, Tableau).

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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