Principal Machine Learning Engineer - Generative AI
Autodesk
- United States
- United States
À propos
You will report to the Machine Learning Manager within the AEC Solutions Team. Location:
We support hybrid and remote work options for our team members on the East Coast of the United States. Responsibilities Design and implement scalable data architectures and pipelines. Work with diverse, large-scale multimodal datasets, applying advanced preprocessing and content understanding techniques. Develop and optimize production-level machine learning solutions ensuring scalability and reliability, while adhering to engineering best practices. Establish processes for model experimentation, evaluation, and optimization. Write high-performance code for production ML pipelines, contributing to technical excellence. Conduct thorough requirements analysis and collaborate with cross-functional team members to document solutions. Lead the identification of key challenges and create innovative technical solutions. Effectively communicate your findings to influence stakeholders through data analysis, qualitative insights, and compelling visual presentations. Mentor junior engineers, promoting a culture of knowledge-sharing and technical growth within the team. Minimum Qualifications Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field. 7-10+ years of experience in machine learning engineering or a relevant field, showcasing leadership in implementation. In-depth expertise in deep learning architectures like Transformers, CNNs, GANs, along with modern ML frameworks such as PyTorch, Lightning, and Ray. Experience managing LLMs and related technologies such as embedding models, vector databases, and Retrieval-Augmented Generation systems in production. Strong understanding of data modeling and systems architecture. Proficient in using AWS cloud services and SageMaker Studio for seamless data processing and model development. Robust foundation in computer science principles, distributed computing, and algorithm efficiency. Proven ability to turn theoretical concepts into practical solutions through prototyping. Capable of working independently while effectively collaborating across various teams. Exceptional technical writing and communication skills for documentation and presentations. Preferred Qualifications Background in the Architecture, Engineering, or Construction industries. Extensive experience in data preparation, hyper-parameter selection, and optimization techniques. Proficiency in parallel and distributed computing, with substantial hands-on experience using platforms like Spark or Ray. Demonstrable experience in developing and deploying high-scale machine learning algorithms in real-world applications. Ideal Candidate You are driven to solve challenges for our AEC customers using machine learning. You thrive in fast-paced, evolving environments where adaptability is essential. You lead through action, combining technical expertise with hands-on development. You collaborate easily with team members and require minimal direction. You are committed to continuous learning and exploration of new technologies. You seek innovative and effective solutions to complex technical problems, moving quickly from ideation to execution. You embrace experimentation, are open to sharing ideas, and value rapid iteration. At Autodesk, we prioritize building a diverse and inclusive workplace, offering equal employment opportunities to all qualified candidates without regard for race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We also consider all qualified applicants regardless of criminal history, in line with applicable laws. If you are currently a contractor or consultant with Autodesk, please search for open positions and apply internally. For any questions or support, contact Autodesk Careers.
Compétences linguistiques
- English
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