Machine Learning Engineer
Job description
Machine Learning Engineer at Verita AI.
About the role
Verita AI is seeking a Machine Learning Engineer to contribute to the development and implementation of machine learning solutions that enhance our internal processes and user experiences. This position will focus on creating systems for expert matching, scoring, and various AI-driven functionalities for our platform.
Key facts
What you'll do
- Design, develop, and maintain machine learning systems that facilitate automation and improve user matching.
- Implement algorithms for recommendations, expert matching, and applications involving large language models.
Requirements
- Proven experience in developing, deploying, and managing production-level machine learning systems.
- Familiarity with recommendation systems, matching algorithms, and platforms that utilize human data.
Nice to have
- Experience working with gamification elements in software applications.
Skills & tools
- Strong written and verbal communication abilities.
- Analytical mindset with a focus on data-driven approaches.
- Ability to navigate uncertainty and create structured solutions from ambiguous problems.
Practical notes
- Competitive salary based on experience.
- Equity options available.
- Health insurance stipend provided.
Verita AI is building a job matching platform that connects domain experts with lucrative data training opportunities at leading AI labs. Our platform transforms the experience of contributing to AI training into an engaging and rewarding process, featuring leaderboards and progression systems that recognize high-quality work. We recently secured a $6 million seed funding round led by Kindred Ventures.
Join us to work alongside researchers and engineers at the forefront of AI technology, helping shape a platform utilized by thousands of experts daily. This role offers the chance to grow into a senior position as our team expands. If you thrive in dynamic environments and are eager to make a significant impact in AI development, we want to hear from you.