Hybrid Machine Learning Engineer

Posted last month

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About the role

  • Founding ML Engineer responsible for developing custom multi-modal workflow agents at AI startup. Engage in building, training, and deploying ML/AI models for the banking industry.

Responsibilities

  • Develop the core ML/AI work at Saris, building custom, multi-modal workflow agents end-to-end
  • Work closely with other engineers on the team to operationalize the core AI agents for production usage
  • Build datasets, define metrics, and track the performance of our AI agents
  • Define core evaluation pipelines to refine our AI agents
  • Build reusable systems and tools that enable contributions from across the company and steadily raise the quality bar
  • Work closely with the founders to help develop the ML/AI vision of the company, and to help drive that roadmap forward

Requirements

  • At least 5 years of ML/AI engineering experience, working as a senior/lead member of the team
  • Extensive experience building, training, and deploying custom ML/AI models that solve complex problems for customers
  • Experience building, training, and deploying LLM models that solve complex problems for customers (ideally conversational AI agents)
  • Extensive knowledge on the inner workings of foundational ML/AI technologies, including deep learning and transformers
  • Experience working collaboratively with other engineers, through code reviews and working sessions
  • Experience working in small teams, moving fast without too much processes/overheads
  • A deep passion for the ML/AI space, and be continually on the lookout for new techniques or architectures

Benefits

  • Competitive compensation with premium benefits and equity package

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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