AI Coach Architect
3 weeks ago
At Valence, we're revolutionizing the future of leadership with our AI native coaching platform for enterprise. As a pioneering Machine Learning Engineer, you'll be at the forefront of architecting cutting-edge solutions that empower leaders and employees alike.
This is an exceptional opportunity to join our team and make a lasting impact on the world's biggest companies. With our conversational AI coaching product, designed for Fortune 500 enterprises, you'll implement and optimize machine learning models that power insightful guidance and recommendations.
The RoleYou will be responsible for developing scalable data pipelines, optimizing models for performance and accuracy, and ensuring they're production-ready. Your expertise in designing and implementing improvements in user experience through conversational interactions will drive product goals forward.
- Develop high-velocity experiments to optimize the end-user experience, conducting statistical analyses to inform decisions.
- Document models, prompts, and processes to increase replicability and drive quality improvements.
- Support other coding and feature development as required.
We seek candidates with:
- A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
- 3+ years of professional experience in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field).
- Practical experience and theoretical knowledge of language technologies, such as dialogue/conversational systems, NLP, and Information Retrieval.
- A strong foundation in data structures, algorithms, and software engineering principles.
- Proficiency in Python and relevant deep learning frameworks.
- Experience with LLM model development and deployment, including model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning.
- Experience with cloud deployment of ML systems.
- Experience structuring and running data-backed experiments.
- Exposure to early-stage startups, preferably B2B SaaS.
In this role, you'll enjoy:
- Ownership of projects and strategic priorities, regardless of seniority.
- Strong ties to the executive team, a culture of transparency, and engagement with strategic decisions.
- Comprehensive health coverage from day one.
- Provision of anything needed to be successful – learning tools, hardware, office equipment, and software.
- A WFH stipend, phone stipend, and support to work in a We Work or other space as preferred.
Join us in shaping the future of leadership and learning with your expertise. Apply now to become a part of our innovative team
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