Machine Learning Manager

Job Requisition ID # 25WD86908

• Position Overview

  We are seeking a hands-on Engineering Manager to lead our skilled team of software and ML engineers in the design, development, and maintenance of AMP, our next generation machine learning platform. Your management role extends beyond providing technical leadership; you will be a pivotal figure in fostering collaboration with partners and driving platform adoption. Collaborating closely with cross-functional teams including product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap. Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget.

• Responsibilities

  • Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
  • Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
  • Provide sound technical guidance and drive crucial technology decisions
  • Actively participate in coding review processes, and problem-solving alongside your team
  • Stay updated with the latest advancements in AI/ML technologies
  • Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems
  • Ensure adherence to 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
  • Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

• Minimum Qualifications

  • BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
  • Minimum of 3 years of experience of software engineering, with at least 3 years in a leadership or management role
  • Proven experience leading and mentoring software and ML engineering teams. Ability to inspire, motivate, and guide team members towards achieving project goals
  • Ability to align technical objectives with business goals. Skilled at roadmap development, setting clear objectives, and prioritizing tasks
  • Ability to plan, execute, and deliver projects timely and efficiently allocate resources and managing workload distribution among team members
  • Skilled in identifying potential project risks and developing mitigation strategies
  • Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
  • Ability to design and build scalable, high-performance systems with understanding of cloud services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
  • Solid understanding of agile software development methodologies and management practices
  • Working knowledge of CI/CD pipelines, automation tools, and practices for machine learning lifecycle management
  • Excellent communication skills to effectively liaise with various stakeholders, including product managers, data scientists, and upper management
  • Ability to foster a collaborative team environment
  • Managers of Professional roles – and/or managers of people that manage Support roles
  • Manages work for medium size team, or multiple small teams and achieves results by directing work through supervisors/team leads and professional employees
  • Typically focused on areas of subject matter expertise within one discipline
  • Keep their teams organized, efficient, effective, productive, and motivated through professional leadership techniques
  • Responsible for managing deliverables against expected results with a timeline that is typically longer than a quarter
  • Focus is more operational, and decisions are typically made within established policies, procedures and objectives

• Preferred Qualifications

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, specifically AWS SageMaker or Azure Machine Learning
  • Prior experience in building AI/ML platforms
  • Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment

Learn More / Plus d'information

About Autodesk / À propos d’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!

Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.

Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.

Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !

Salary transparency / Transparence salariale

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.

Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.

Diversity & Belonging / Diversité et appurtenance

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

Nous sommes fiers de cultiver une culture d’appartenance et un milieu de travail équitable où tout le monde peut s’épanouir. Pour en savoir plus, cliquez ici : https://www.autodesk.com/company/diversity-and-belonging