Canva
Senior Machine Learning Engineer - Agents data(m/w/x)
Full-timeRemoteSenior
Wien
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CACanva
Senior Research Scientist - Reinforcement Learning, MoEs(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing multimodal agentic systems, scaling reinforcement learning across distributed systems for a design platform. Expertise in LLMs, VLMs, and Diffusion models, with strong experimental design skills, required. Equity packages, annual Vibe & Thrive allowance, flexible leave.
Requirements
- Expertise in MoEs, LLMs, VLMs, and Diffusion
- Experience modifying and adapting open-source models
- Strong experimental design and reproducibility skills
- Fluency in Python and PyTorch
- Experience building and evaluating agent loops
- Hands-on experience with policy optimization
- Experience with large-scale distributed training
- Experience with RL for MoE architectures
- Experience with video and audio modelling
- Experience with multi-agent settings
- Strength in alignment and safety evaluations
- Contributions to open-source or benchmarks
Tasks
- Develop multimodal agentic systems
- Design reward models and learning loops
- Scale reinforcement learning across distributed systems
- Optimize mixture-of-experts architectures
- Build scalable training and evaluation loops
- Construct datasets for post-training
- Design experiments for policy optimization
- Develop simulation and sandbox tasks
- Identify failure modes like hallucinations
- Implement offline suites and A/B tests
- Collaborate with product and platform teams
- Mentor teammates and share research findings
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MoEs
- LLMs
- VLMs
- Diffusion models
- Python
- PyTorch
- RLHF
- RLAIF
- DPO
- IPO
- actor-critic
- PPO
- offline RL
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Canva and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CACanva
Senior Research Scientist - Reinforcement Learning, MoEs(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing multimodal agentic systems, scaling reinforcement learning across distributed systems for a design platform. Expertise in LLMs, VLMs, and Diffusion models, with strong experimental design skills, required. Equity packages, annual Vibe & Thrive allowance, flexible leave.
Requirements
- Expertise in MoEs, LLMs, VLMs, and Diffusion
- Experience modifying and adapting open-source models
- Strong experimental design and reproducibility skills
- Fluency in Python and PyTorch
- Experience building and evaluating agent loops
- Hands-on experience with policy optimization
- Experience with large-scale distributed training
- Experience with RL for MoE architectures
- Experience with video and audio modelling
- Experience with multi-agent settings
- Strength in alignment and safety evaluations
- Contributions to open-source or benchmarks
Tasks
- Develop multimodal agentic systems
- Design reward models and learning loops
- Scale reinforcement learning across distributed systems
- Optimize mixture-of-experts architectures
- Build scalable training and evaluation loops
- Construct datasets for post-training
- Design experiments for policy optimization
- Develop simulation and sandbox tasks
- Identify failure modes like hallucinations
- Implement offline suites and A/B tests
- Collaborate with product and platform teams
- Mentor teammates and share research findings
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MoEs
- LLMs
- VLMs
- Diffusion models
- Python
- PyTorch
- RLHF
- RLAIF
- DPO
- IPO
- actor-critic
- PPO
- offline RL
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Canva and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Canva
Industry
IT
Description
The company is a fast-growing platform that redefines how the world experiences design.
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