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United States Digital Space LLC
Lead Machine Learning EngineerUnited States Digital Space LLC • Toronto, ON, Canada
Lead Machine Learning Engineer

Lead Machine Learning Engineer

United States Digital Space LLC • Toronto, ON, Canada
12 days ago
Job type
  • Full-time
Job description

About the company AI


We\u2019re a San Francisco, Montreal and Toronto based applied AI startup that\u2019s building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what\u2019s possible with multi-turn AI agentic systems


Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.


We\u2019ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we\u2019re scaling up fast and looking for deeply technical builders who want to have outsized impact early.


Our core engineering team is looking for a hands-on ML Engineering Lead who thrives in early-stage, ambiguous environments. You\u2019ve 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 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 modeling infra 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 the company 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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Lead Machine Learning Engineer • Toronto, ON, Canada

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