Summary
Join Valence as a founding Applied AI Engineer and help shape the future of leadership development by developing groundbreaking AI-driven coaching solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
- 3+ years of professional experience (or equivalent) 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 and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools
- Strong software engineering skills with a track record of developing data-driven machine learning systems or products
- Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM)
- Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services
- Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark)
- Familiarity with ML lifecycle tools like MLflow, Weights & Biases
- Hands-on experience building Generative AI-powered applications, including Large Language Models
- Strong analytical and problem-solving skills
- Ability to communicate complex ideas and concepts effectively
- Exposure to early-stage startups, preferably B2B SaaS
Responsibilities
- Architect and develop enterprise-grade conversational AI solutions for leadership coaching
- Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals
- Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency
- Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts
- Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models
- Work with the product team to study user behavior and prioritize evolving product developments
- Experiment at a high velocity to optimize user experience
- Full stack - write, review and deploy code across back and front end as needed
- Streamlining data science processes to support rapid iteration and quality improvement
- Support other science and software development where required
Benefits
- Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment
- Strong ties to the executive team, a culture of transparency and engagement with strategic decisions
- Options from day one, which means you will be on the ownership track right away
- Competitive salary and equity packages
- Comprehensive health coverage (medical, dental, and vision) from day 1
- Provision of anything you need to be successful - learning tools, hardware, office equipment, software
- 401k optionality for US based employees
- Generous PTO, company-wide R&R shutdowns and paid leave for parents
- A WFH stipend, phone stipend and support to work in a We Work or other space as preferred
