$180,000 – 250,000 (DOE)
Mountain View – 4x days per week
Full-time Position
Our client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data.
We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments.
Key Responsibilities
- Architect, implement, and maintain LLM applications
- Oversee complete ML lifecycle management
- Handle data analysis, processing, and model architecture design
- Develop training protocols, evaluation metrics, and MLOps infrastructure
- Monitor and analyze emerging trends in GenAI technologies
- Evaluate potential applications of new developments for product enhancementContribute to strategic technical decision-making
- Present technical concepts to diverse audiences with varying technical backgrounds
- Contribute to innovative AI solution development across multiple product areas
About You
- Minimum 3 years of ML experience
- Demonstrated success deploying scalable AI models in production environments
- Advanced programming capabilities with Python
- Proficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAX
- Experience with model optimization and deployment
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similar
- PhD or equivalent industry experience preferred
Preferred Qualifications
- Published research in recognized AI/ML conferences or journals
- Active contribution to relevant open-source projects
- Participation in competitive ML platforms (Kaggle, etc.)
- Engagement with AI/ML professional communities
- Previous experience in startup or scale-up environments
If you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!
