Machine Learning Engineer

Summary

Join RYZ Labs as a Machine Learning Engineer and lead the development, implementation, and maintenance of algorithms and models focused on Computer Vision applications, primarily artwork generation and mockup creation. You will work with large datasets, various programming languages, and AI frameworks, handling all stages of the project pipeline. This role requires strong technical skills, experience with image generation models, and collaboration with cross-functional teams. The position is remote within Argentina and Uruguay, offering opportunities for growth and learning within a dynamic startup environment. RYZ Labs values customer focus, action-oriented approaches, ownership, and continuous improvement.

Requirements

• BS in Computer Science combined with 5+ years of experience working on web applications at scale
• 2+ years of CV/AI experience, preferably in an e-commerce environment
• Experience fine-tuning or training image generation models
• Experience in 3D modeling
• Experience deploying models into production for customer use
• Experience working with various models such as SDXL, DALL-E, CLIP, etc
• Ability to analyze data, identify patterns, and make data-driven decisions
• Strong technical skills, including experience with software development, data analysis
• Proven track record of managing complex development projects and collaborating with cross-functional teams to success
• Excellent communication, collaboration, and leadership skills
• Customer-focused mindset

Responsibilities

• Design, implement, and maintain algorithms and models focusing on artwork generation and mockup creation
• Work with expansive datasets, programming languages, and AI frameworks
• Execute various stages of the project pipeline including data preprocessing, model selection, and deployment
• Cultivate and sustain software infrastructure supporting project workflows
• Liaise closely with data scientists, software engineers, and product managers to ensure potent and aligned project outcomes
• Continuously explore and assimilate new techniques and technologies in the field
• Document code, models, and workflows to bolster reproducibility and maintainability
• Collaborate with other developers and stakeholders to weave solutions into production systems
• Analyze and interpret complex data sets to drive business insights and recommendations

Benefits

• Remote work
• Opportunities for growth and learning
• Working with a team of great professionals and specialists