Search for Principal Machine Learning Engineer roles in New Jersey, focusing on Generative AI, requiring 10+ years of experience, preferably in the Architecture, Engineering, and Construction industry, and flexible with work mode.

Okay, I've searched for Principal Machine Learning Engineer roles in New Jersey, specifically in Generative AI, requiring 10+ years of experience, in the Architecture, Engineering, and Construction industry, with flexible work options. I found 32 positions available that fit your criteria.

Principal Machine Learning Engineer

New Jersey, United States

Architecture, Engineering, and Construction

10 years + Experience

Flexible

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Principal Machine Learning: Generative AI role at Autodesk is fundamentally about driving innovation within the Architecture, Engineering, and Construction (AEC) industry through the integration of advanced AI solutions. The candidate will join a technically skilled team tasked with crafting generative AI tools aimed at enhancing design workflows across flagship products like AutoCAD and Revit. Key responsibilities include architecting scalable data pipelines, engaging with multimodal datasets, and establishing best practices for machine learning implementations. Success in this position entails not only strong technical capabilities but also the ability to mentor junior engineers and effectively communicate complex technical findings to diverse stakeholders. The incumbent will face challenges such as translating theoretical machine learning concepts into practical applications, navigating the complexities of 2D/3D data representation, and finding innovative solutions in an evolving landscape, all while upholding high standards of scalability and reliability in production systems.

Company Analysis:

Autodesk operates within the high-tech segment of the architecture, engineering, and construction industry, recognized as a leader in integrating cutting-edge technologies into traditional practices. As a significant player with a global reach, it is committed to empowering innovators and sustainability, reflected in its diverse product offerings that cater to various design and manufacturing challenges. The company's culture appears to emphasize collaboration, innovation, and inclusivity, which aligns with the fast-paced and forward-thinking nature of the AI sector. In terms of organizational context, this role is positioned within the AEC Solutions Team and involves considerable interaction with both technical and non-technical stakeholders, indicating that visibility with senior leadership is likely high. The strategic alignment of this role reflects Autodesk's broader goals of leveraging generative AI to reshape industry standards, indicating that the candidate will play a pivotal role in the company’s ongoing transformation and innovation agenda.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a technology implementation in a cross-functional team. What challenges did you face and how did you overcome them?
Can you describe a situation where you had to optimize a machine learning model for production? What steps did you take?
Discuss a project where you used deep learning architectures. What was your approach and what were the results?
Describe a time when you communicated complex technical information to a non-technical audience. How did you ensure clarity and understanding?
How would you approach architecting scalable data pipelines for multimodal datasets?
What techniques would you employ for preprocessing 2D/3D geometric data in a machine learning context?
Can you explain how you would optimize a production-level machine learning solution for reliability?
Imagine that you are faced with a rapidly changing project requirement for the AEC products. How would you adapt your machine learning models to align with these changes?
Why are you interested in working at Autodesk specifically, and how do you see your skills contributing to our mission?
How do you feel your previous experiences align with Autodesk's commitment to innovation and sustainability?
What has excited you the most about advancements in generative AI, particularly within the AEC sector?
What questions do you have for us about the team structure and projects you'll be involved in?
What resources or trainings do you find most helpful in keeping current with AI developments and methodologies?

Job Details

Overview Company

Principal Machine Learning Engineer

Autodesk

a day ago

Highlight

RemoteFull-time10+ yearsSenior

Summary

Autodesk is seeking a Principal Machine Learning: Generative AI to join their team remotely on the East Coast, United States. The role involves leading the development of foundation models and generative AI tools for the AEC industry.

About the Role

As a Machine Learning Developer/Engineer on the AEC Solutions team, you will architect and implement scalable data pipelines, work with large-scale multimodal datasets, and develop advanced preprocessing techniques. You will optimize production-level ML solutions, establish best practices for model experimentation, and mentor junior engineers. The role requires effective communication of technical findings and setting the technical direction for innovative solutions.

About You

Required:

An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field.
10+ years of experience in machine learning engineering or a related field, with leadership and hands-on implementation.
Expertise in deep learning architectures and modern ML frameworks.
Experience with LLMs and related technologies in production settings.
Deep understanding of data modeling, system architectures, and processing techniques.
Experience with AWS cloud services and SageMaker Studio.
Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency.
Proven ability to translate theoretical concepts into practical solutions.
Excellent technical writing and communication skills.

Preferred:

Background in Architecture, Engineering, or Construction.
Extensive experience in data preparation, hyper-parameter selection, and optimization methods.
Proficiency in parallel and distributed computing techniques.
Proven record in developing and deploying high-scale machine learning algorithms in production environments.

Autodesk

Autodesk is changing how the world is designed and made.

Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all.

Over 100 million people use Autodesk software, like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more, to unlock their creativity and solve important design, business, and environmental challenges. Our software runs on both personal computers and mobile devices. It taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate, and fabricate their ideas in 3D.

We provide exceptional compensation and benefit packages, and we’d love for you to join us. We’re proud to be an equal opportunity employer, and we consider all qualiﬁed applicants without regard to race, gender, disability, veteran status, or other protected category. To see our culture in action, check out #AutodeskLife.

We are headquartered in the San Francisco Bay Area and have over 10,000 employees worldwide.