MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
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.
Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.