Founding Staff ML Engineer (Tech Lead)

tryprotege.com • Palo Alto, NY

4d

About The Position

We’re seeking an experienced Lead Machine Learning Engineer to spearhead our AI innovations and deliver cutting-edge, scalable ML solutions. This is a hands-on leadership role where you’ll architect state-of-the-art machine learning systems, mentor a team of passionate engineers, and shape our technical strategy as we evolve our enterprise-grade AI products.

Requirements

• Experience fine-tuning large language models (LLMs) for industry-specific applications.
• Expertise in optimizing LLM prompts and integrating ML solutions into production environments.
• Expertise in developing RAG pipelines for citations and similar
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
• 5+ years of professional experience in software development and machine learning at a reputable company.
• Deep expertise in machine learning experimentation best practices, data processing, and model deployment.
• A strong grasp of product experience as they relate to ML-powered products.
• Excellent communication and teamwork skills, with a passion for mentoring and leading technical teams.
• An entrepreneurial mindset with a keen interest in innovation and the startup ecosystem (bonus points for aspiring founders).

Nice To Haves

• Background in VC-backed startups or scaling ML solutions at large tech companies.
• Familiarity with managed Lora AI deployment platforms for ML workloads, like Together, Fireworks, and Replicate.

Responsibilities

• Drive the ML and backend roadmap with strategic planning and architecture reviews.
• Experiment, develop, and scale new machine learning products.
• Leverage advanced techniques such as LLM fine-tuning and embedding techniques to power intelligent automation.
• Design end-to-end ML pipelines, monitor production systems, troubleshoot issues, and ensure seamless service through effective debugging and on-call rotations.
• Translate product requirements into scalable ML designs by collaborating with product managers, full stack engineers, and UX designers.
• Stay ahead of trends like serverless ML deployments to keep our stack efficient.
• Foster a culture of continuous learning by exploring the latest industry trends and encouraging experimentation within the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior