Founding Machine Learning Engineer - Remote

Overview

Join the Flower Frontier Model Team as a founding ML Engineer to push the boundaries of frontier AI models and build category-defining models using decentralized learning methods.

In Short

• Founding role in a new AI team focused on model building.
• Opportunity to work on SOTA LLMs and foundation models.
• Collaborative environment with a mix of research and engineering talent.
• Involves designing and optimizing components for model training.
• Experience with GPU clusters and distributed systems is essential.
• Fast-paced startup culture with opportunities for technical leadership.
• Contribute to open-source models integrated into Flower Lab products.
• Flexibility to learn and adapt in a demanding environment.
• Strong engineering discipline and communication skills required.
• Preference for candidates with post-training expertise.

Requirements

• Exceptional software engineering skills (Python, deep learning frameworks).
• Expertise with ML training stacks: PyTorch, JAX or equivalent.
• Hands-on experience with large GPU clusters and performance optimization.
• Ability to collaborate effectively with diverse teams.
• Good engineering hygiene and documentation practices.
• Familiarity with tools like Linux, git, Docker.
• Strong understanding of distributed systems and networking.
• Strong written English and communication skills.
• Openness to new tooling and methodologies.
• Track record of problem-solving and learning on the job.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Influence the direction of the company and projects.
• Work with industry leaders and experts.
• Potential for career growth and technical leadership.
• Flexible working arrangements.
• Involvement in open-source projects.
• Support for continuous learning and development.
• Engagement in a fast-paced startup culture.
• Participation in redefining AI deployment and scaling.