Senior Conversational AI Engineer

2 weeks ago


Étreux, Hauts-de-France, United States Valence Full time

We are a pioneering team at Valence, a Series A B2B SaaS company backed by Insight Partners. Our mission is to transform how large enterprises approach learning and development.

This is an exciting opportunity for a Senior Conversational AI Engineer to join our team and implement and optimize machine learning models that power our coaching insights and recommendations.

The Role:

  • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready.
  • Develop, design, and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals.
  • Work with the product team to analyze user behavior and prioritize evolving requirements.
  • Experiment at a high velocity, conducting statistical analyses, to optimize the end-user experience.
  • Research and development on new Conversational AI approaches leveraging cutting-edge LLM/NLP advancements.
  • Documentation of models, prompts, and processes to increase replicability and drive quality improvements.
  • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI.
  • Support other coding and feature development where required.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • 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 related field).
  • Practical experience and theoretical knowledge of language technologies such as dialogue/conversational systems, NLP, and Information Retrieval.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Proficiency in Python and relevant deep learning frameworks; training (e.g., PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM).
  • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g., DSPy, TextGrad).
  • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including open systems (e.g., Docker and Kubernetes) and associated ML services.
  • Strong analytical and problem-solving skills.
  • Experience structuring and running data-backed experiments.
  • Strong written and verbal communication skills.
  • Exposure to early-stage startups, preferably B2B SaaS.

What We Offer:

  • Competitive salary: $175,000 - $225,000 per year.
  • Options from day one, which means you will be on the ownership track right away.
  • 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.


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