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What Autodesk Has to Offer:
Autodesk makes the software and tools that help people imagine, design, and make a better world. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with their software. Autodesk offers their employees benefits like:
Job Type
Full Time
Job Details
Job Requisition ID # 24WD75346 Position Overview Autodesk makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk's Emerging Media and Entertainment Technology division is hiring Machine Learning Engineers to work on innovative projects that help our customers imagine, design, and make a better world. Reporting to our Director of Research, you will help us with implementing and improving ML models while applying best practices for AI Research. You'll apply ML methodologies and tools to a wide array of data and use cases and help shape the future of media and entertainment technology. Responsibilities
- Implement and enhance new ML models and AI techniques
- Apply best practices for AI Research and lead by example
- Work collaboratively on research projects within a globally-distributed team
- Support research through building experimental pipelines and prototypes
- Handle data processing and preparation at scale
- Conduct model training and hyperparameter tuning
- Analyze model errors and design strategies for mitigation
- Collaborate with the Advanced Engineering team to implement effective AI solutions
- BSc or MSc. in a related AI/ML field such as, Computer Science, Mathematics, Statistics, Physics (or similar)
- 8+ years of experience in software development, developing clear solutions for complex problems
- Coding skills in Python and/or C++
- Understanding of fundamental CS algorithms and their scaling behavior with a background in statistical methods for Machine Learning
- Deep Learning techniques (Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.)
- Experience with data modeling and data architecture
- Experience with TensorFlow, PyTorch, and other standard deep learning frameworks
- Excellent documentation skills for code and software architecture
- Comfort with ambiguity and the ability to learn and adapt in newly forming areas
- Outstanding visual and verbal communication skills
- Effective interpersonal skills and a growth mindset
- Computational geometry and geometric methods (e.g. shape analysis, signal processing, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
- Diffusion models
- Passion for entertainment and media, skills in the use of creative software
- Expertise in network architectures, process automation, batch processing, artefact check-pointing, resilience management
- Multi-modal deep learning and/or information retrieval
- Natural Language Processing
- Reinforcement Learning
- PhD in a AI/ML related field
About the Company
Autodesk
San Francisco, CA, United States
We believe flexibility in how and where work gets done is good for our people and teams. Embracing a hybrid-first model allows us to better meet... Read more