Machine Learning Engineer
Description For Machine Learning Engineer
Builder.ai is revolutionizing the app development industry by making it accessible to everyone, regardless of technical background. As a Machine Learning Engineer, you'll join a dynamic team of over 800 people worldwide, backed by $250M Series D funding and a Microsoft partnership. You'll be part of the AI organization, collaborating with global product and engineering teams across London, New Delhi, Los Angeles, France, and Dubai.
The role offers unique challenges in building and managing data pipelines, productionizing ML models, and developing the Builder Knowledge Graph. You'll work on cutting-edge GenAI LLM models, implementing RAG and agent architectures, and ensuring seamless integration with automated and human workflows. The position requires expertise in Python, SQL, and cloud architectures, with opportunities to work on knowledge graphs and graph databases.
Builder.ai's culture encourages experimentation and innovation, guided by their HEARTT values (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency). The company offers competitive benefits, including stock options, variable pay, and comprehensive healthcare coverage. This is an opportunity to shape the future of software development automation while working with a diverse, collaborative team at one of Fast Company's Most Innovative Companies in AI.
Responsibilities For Machine Learning Engineer
- Build, maintain and manage data pipelines that support modeling initiatives
- Work with data scientists to productionize machine learning models
- Contribute to the development of the Builder Knowledge Graph
- Build GenAI LLM model solutions with RAG and agent architectures
- Engineer scalable cloud solutions using service-oriented architectures
Requirements For Machine Learning Engineer
- Higher university degree (MSc or PhD) in Computer Science, Engineering, Mathematics, Physics
- Solid programming experience in Python
- Software engineering experience in productionising machine learning
- Solid knowledge of SQL
- Practical ML experience in R&D, commercial or academic projects
- Ability to communicate with diverse stakeholders
Benefits For Machine Learning Engineer
- Discretionary variable pay or commission scheme
- Stock options in a $450 million funded Series D scale-up company
- 24 days annual leave + bank holidays
- 2 x Builder family days each year
- Time off between Christmas and New Year
- Generous Referral Bonus scheme
- Pension contributions
- Private Medical Insurance provided by AXA
- Private Dental Insurance provided by Bupa
- Access to Perkbox
