Senior Principal Machine Learning Engineer

Key Skills

Amazon Athena, Apache Hive, AWS, AWS Glue, Big Data Technology, Deep Learning, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Pandas, Presto, PySpark, Python Programming, Scikit-learn, SQL

Job Description

Our goal is to help our customers, through conversations, personalization and other intelligent features on our platform. Our team members work closely with stakeholders across the business, enabling them to provide significant technology leadership and create opportunities for impact. We work together and collaboratively, applying the latest technologies and rigorous analysis to solve complex customer problems using machine learning.

In 2024, we are focused on Autodesk Assistant, a universal LLM-based chatbot designed to provide generative responses to a wide range of customer requests. This system is in production and is already making it possible to enrich conversations with customers and obtain better results. Other examples of our work include routing models from customer requests to agents, designing effective scripts for our help desk chatbot, and measuring the impact of automation on customer forums .

Position presentation

As a Senior Machine Learning Engineer on the team, you will be responsible for designing, analyzing and producing data-driven solutions to address important business challenges within a work program. Early Lead Machine Learning Engineers work at a programmatic scale, taking responsibility for large technical solutions and coordinating delivery with multiple stakeholder teams.

Reporting to the Senior Team Leader, this role combines direct management of a number of machine learning engineers with hands-on technical skills.

Our team culture is based on collaboration, mutual support and continuous learning. As our first Principal Machine Learning Engineer, you will provide technical guidance and thought leadership for the team and the broader company. We emphasize an agile, practical and technical approach at all levels of the team. As a group, we want to continually improve our machine learning processes as well as our knowledge of relevant trends and techniques in our areas of expertise.

Our team strives for excellence in the theory and practice of machine learning. We encourage personal development and knowledge sharing.

Responsibilities

• Lead, mentor, develop and manage less experienced team members to deliver key machine learning-enabled functionality for our digital customer platform

• You will develop a work program, in partnership with stakeholders, to achieve strategic objectives in various horizons

• Translate business needs and goals into problems that can be solved through a combination of data, statistics and machine learning

• You will design and implement machine learning capabilities that enhance Autodesk's e-commerce and customer platforms.

• You will perform statistical and data analysis and exploration to generate datasets for training and model development

• Collaborate with other team members to find better solutions and position our team at the forefront of machine learning technology and practices

Minimum requirements

• Master's or PhD in computer science, statistics, engineering, economics or related field We also welcome applicants from non-traditional machine learning backgrounds

• At least five years of experience in machine learning

• At least 2 years managing or leading a machine learning team

• Proficient in Python Machine Learning stack, e.g. Pandas, etc.

• Knowledge of experimental design and analysis of results

• Demonstrate experience applying machine learning, including deep learning (PyTorch) and classical machine learning (Scikit-Learn)

• Demonstrate experience leading machine learning teams in deploying and improving machine learning features in production

• Demonstrate experience working in cross-functional teams to deliver ML solutions at scale.

Desired skills

• Knowledge of major language models, particularly in the context of interactive dialogue systems and conversational agents (RAG, generative AI, conversation agents)

• Experience deploying natural language processing systems such as those related to information extraction (IR), recommendation systems (RecSys) or other natural language processing applications

• Experience in SQL and big data technologies such as Hive, Presto, Glue, (Py)Spark or Athena

• Advanced software engineering skills, including data structures and algorithms

• Experience with data pipelines and model serving in AWS

• Experience in MLOps, particularly on AWS, at scale

LIPOST

Li-KJ1

Learn More / Plus d'information

About Autodesk / 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!

Welcome to Autodesk! Incredible things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest blockbuster movies. We help innovators turn their ideas into reality, transforming not just how things are done, but what can be done.

We're very proud of our culture here at Autodesk - our culture code is at the heart of everything we do. Our values ​​and ways of working help our people thrive and realize their potential, leading to even better results for our clients.

When you're an Autodesk employee, you can be whole and authentic and do meaningful work that helps build a better future for everyone. Ready to shape the world and your future? Join us!

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.

Salary is one of the elements of Autodesk's competitive offer. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also place great importance on discretionary annual cash bonuses, commissions for sales functions, stock or long-term cash incentive bonuses, as well as a comprehensive package of social advantages.

Diversity & Belonging / Diversity and 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

We pride ourselves on cultivating a culture of belonging and an equitable workplace where everyone can thrive. To find out more, click here: https://www.autodesk.com/company/diversity-and-belonging