Lead Machine Learning Engineer

Key Skills

Amazon Athena, AWS, Deep Learning, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Scikit-learn, SQL

Job Description

The Digital Experience & Customer Empowerment Team is responsible for applying technology and analysis to improving the direct sales, marketing, customer support & enablement, and community functions at Autodesk. Our team is focused on delivering machine learning models to production at scale and continuously improving their performance. Examples of our work include models for routing customer queries to agents, designing effective scripts for our support chatbot, and measuring the impact of automation on customer forums. Recently, our focus has been on the Autodesk Assistant, an LLM-driven, Universal Chatbot intended to provide generative answers to a wide range of our customers' inquiries. This system is in production and already driving rich customer conversations and better outcomes.

Position Overview

As a Lead Data Scientist / ML Engineer on the team, you will be responsible for the design, analysis, and delivery of data-driven solutions to significant business challenges. Lead Data Scientists operate at a programmatic scale, taking responsibility for significant technical solutions and coordinating delivery with multiple stakeholder teams. As the role develops, you can also be responsible for managing team members directly. Our team culture focuses on collaboration, mutual support, and continuous learning. As a Lead DS, you will also include providing technical guidance, and other relevant advice to peers and colleagues within the team, and across the company. We emphasise an agile, hands-on, and technical approach at all levels of the team. Finally, as a team we strive for excellence in the theory and practice of Data Science. This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas. We encourage personal development and knowledge sharing.

You will report to: Sr. Manager, Data Science

Role Location: San Francisco, CA or Atlanta, Georgia

Responsibilities

• Design & Implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms

• Develop a program of work, coordinating with partners and stakeholders, to solve strategic business objectives

• Collaborate to translate business requirements and objectives into problems that can be solved with a combination of data, statistics, and machine learning

• Perform statistical and data analysis and exploration to generate datasets for model training, and insights for design of solutions in the above areas

• Collaborate with other members of the team to get to better solutions, to improve our processes, and to keep our team at the cutting edge of technology

• Lead, mentor, support, and, optionally, manage more junior members of the team in achieving DS & ML excellence

Minimum Qualifications

• MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field We also welcome applicants from non-traditional DS backgrounds

• 5+ years of applicable work experience

• Proficiency with the Python Data Science stack, e.g. Pandas, etc

• Knowledge of experimental design and analysis of results

• SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena

• You have demonstrable experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)

Preferred Qualifications

• Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)

• Experience from deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications

• Experience working in multidisciplinary teams to provide ML solutions at scale

• Advanced software engineering skills including data structures and algorithms

• Experience with data pipelines and model serving in AWS

• Experience with MLOps, especially on AWS, at scale

The Ideal Candidate

There is no single ideal profile for a candidate for this role. We encourage you to apply if you think you would add to our team's ability to deliver innovative ML, even if you don't meet every single criterion.

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!

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 $138,700 and $224,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on 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.