Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Artificial Neural Networks Python (Programming Language) Machine Learning Reinforcement Learning Data Processing High Performance Computing Graph Neural Networks Pytorch Retrieval-Augmented Generation Large Language Models Deep Learning Information Technology

+3 more

Optimization Algorithms Machine Learning Operations Data Pipelines

Job description

• Build data pipelines for training, evaluation, and deployment of ML systems
• Collaborate with full-stack engineers to integrate ML capabilities into our platform
• Help establish ML best practices, experiment tracking, and model governance
• Participate in product strategy discussions and help define our technical ML roadmap
• Contribute to research publications and IP development

Requirements

• 5+ years of professional experience in applied machine learning
• Strong expertise in PyTorch for deep learning research and development
• Advanced proficiency with Python for ML model implementation and data processing
• Experience with large language models, multimodal models, and retrieval-augmented generation
• Proven track record of deploying ML models to production environments
• Experience with ML infrastructure and MLOps practices
• Strong background in mathematics, particularly linear algebra, calculus, and statistics
• Demonstrated ability to conduct independent research and solve novel problems
• Strong communication skills and ability to explain complex ML concepts clearly, * PhD or MS in Computer Science, Machine Learning, or related technical field
• Familiarity with reinforcement learning and optimization techniques
• Experience with geometric deep learning or graph neural networks
• Familiarity with CAE software or engineering simulation tools
• Background in physics-informed neural networks or scientific ML
• Experience with high-performance computing for ML
• Publication record at top ML conferences (NeurIPS, ICML, ICLR, etc.)

Benefits & conditions

• Competitive salary and equity package
• Opportunity to shape the direction of an innovative product from its inception
• Opportunity to work with cutting-edge AI and engineering technologies
• Opportunity to publish and present at industry conferences
• Direct access to customers and users, seeing your impact firsthand
• Flat organizational structure with transparent decision-making

About the company

Recruiter @Alexander Chapman

Connecting Top Talent with Leading Companies in Tech & Finance

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Apply on www.juju.com

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