Lead Machine Learning Engineer

Saris AI

$130K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in ML/AI engineering with leadership experience
  • Proven endpoint management of ML projects from concept to deployment
  • Deep familiarity with LLMs and agentic systems in customer-facing roles
  • Strong foundation in ML principles like deep learning and model evaluation
  • Experience in scaling ML systems for reliability and monitoring
  • Proven ability to influence architectural and technical directions
  • Comfortable in high-ownership, early-stage environments

Responsibilities

  • Lead the end-to-end ML/AI function and set standards company-wide
  • Architect and develop multi-modal AI systems for real-world applications
  • Create and manage evaluation frameworks to enhance agent performance
  • Oversee the reliable scaling and productionization of ML systems
  • Mentor and build a high-performing ML team with best practices

Benefits

  • Join a team innovating for the trillion-dollar banking industry
  • Tackle complex technical challenges
  • Competitive compensation and premium benefits
  • Equity package options available
  • Work alongside experienced leaders and successful founders
  • Opportunity to contribute to revenue-generating products with live customers
  • Support from prominent Silicon Valley venture capitalists
Full Job Description
Our core engineering team is looking for a hands-on ML Engineering Lead who thrives in early-stage, ambiguous environments. You've led ML systems from v1 to scale, and enjoy defining both the technical direction and the systems that power them.

Your mission is to
  • Own and lead the ML/AI function end-to-end, setting technical direction and standards across the company
  • Architect and guide the development of multi-modal, agentic AI systems powering real-world workflows
  • Define and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality
  • Drive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments
  • Build and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment
Who You Are
  • 8+ years of experience in ML/AI engineering, including time as a technical lead or manager
  • Proven track record of leading ML initiatives end-to-end, from problem definition 1 production deployment
  • Deep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications
  • Strong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs)
  • Experience scaling ML systems in production, including monitoring, iteration, and reliability
  • Demonstrated ability to lead engineers, influence architecture decisions, and drive technical direction
  • Comfortable operating in early-stage, ambiguous environments with high ownership
  • Strong communication skills with the ability to translate complex ML concepts into clear decisions


Bonus Points If You
  • Have experience building agentic systems, orchestration layers, or long-context reasoning systems
  • Are comfortable across the stack (data 1 modeling 1 infra 1 APIs)
  • Have worked with both open-source and closed LLMs, including fine-tuning or retrieval systems (RAG)
  • Have a strong product mindset and care deeply about real-world impact, not just model performance


Why Join Saris AI?
  • Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.
  • Tackle ambiguous technical challenges with no clear answers.
  • Competitive compensation with premium benefits and equity package.
  • Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).
  • We already have production agents live with revenue-generating customers
  • 🐦 Our team is backed by Tier 1 Silicon Valley VCs

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