Machine Learning Scientist - Vice President

What you'll do

• Build and deploy ML systems for NLP, speech recognition, recommendation, information retrieval, and agentic AI.
• Fine-tune, evaluate, and optimize language models and agent workflows, including reinforcement learning and safety controls.
• Collaborate across business, product, engineering, and governance teams to deliver and monitor production solutions.

What they ask for

• MS with 7+ years, or PhD with 4+ years, of hands-on industry experience building and deploying production ML systems.
• Applied GenAI experience with LLMs, including fine-tuning and deploying SLMs; familiarity with prompt design, grounded generation, and RAG.
• Strong foundations in machine learning, deep learning, statistical modeling, and model evaluation.
• Proficiency in Python and common ML libraries (PyTorch/TensorFlow, Hugging Face, scikit-learn), with production-quality coding ability.

Nice to have

• Experience developing and optimizing virtual assistant models (5 years stated).
• Experience with multi-agent systems, RL/bandits, regulated finance, MLOps/LLMOps, or A/B experimentation.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

Python, PyTorch/TensorFlow, Hugging Face, scikit-learn, LLMs, SLMs, RAG, LoRA

AI focus

Production generative AI and machine learning, including LLM/SLM fine-tuning, RAG, agentic workflows, reinforcement learning, evaluation, personalization, and AI safety.