Machine Learning Engineer developing consumer - facing AI features powered by LLMs at Quora. Collaborating with engineers and optimizing production AI systems for enhanced user engagement.
About the role
- Senior Machine Learning Engineer at Autodesk working with AI researchers to implement generative AI features. Collaborating on ML models for CAD applications and optimizing performance.
Responsibilities
- Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
- Develop, finetune, and optimize foundation models (LLMs, diffusion models, multimodal models) on large-scale datasets for CAD/design applications
- Develop new or improve existing ML models used in CAD software
- Process data and analyze feature extractions and model behaviors
- Design solutions based on error analysis and model performance evaluation
- Present results to collaborators, stakeholders and leadership across research and engineering teams
- Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
- Partner with research teams to transition cutting-edge models into production systems
- Monitor and improve model performance in production environments
Requirements
- BSc or MSc in Computer Science or related fields
- 3+ years of deep learning model development and deployment in production scenarios
- Proficiency with modern deep learning techniques (e.g. deep learning model architectures, regularization techniques, learning techniques, loss functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray, etc.)
- Experience with version control, reproducibility, and writing reusable, testable code
- Experience with data modelling, architecture, and processing using varied data representations, including 2D and 3D geometry
- Experience with cloud services and architectures (e.g. AWS, Azure, GCP)
- Excellent written documentation skills to document code, architectures, and experiments
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff Machine Learning Engineer on Merchant team at Pinterest. Leading ML initiatives to enhance merchant quality and improve user shopping experiences.
Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
Associate Deep Learning Engineer implementing deep learning and computer vision algorithms at NBCUniversal. Collaborating with cofounders to meet technical milestones and deploying code on geospatial datasets.
Staff Product Manager leading Vegetation Intelligence at Overstory, harnessing machine learning to enhance utility vegetation management. Overseeing product strategy and development for critical vegetation insights.
Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
MLOps/LLMOps Architect designing AI solutions for a next - gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large - scale algorithms for high - fidelity content.
Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high - fidelity content using advanced techniques.
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.