Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video - first shopping platform.
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
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Experience level
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Degree requirement
Location requirements
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