PolyAI is a leader in automating customer service through innovative voice technology. Our voice assistants empower businesses to deliver exceptional customer service at every interaction.
This is an exciting position as we are building a new team within the Engineer function. This team will focus on the application of the latest technology into our product.
In this role, you will work on building software to enhance the visibility and configurability of large language models (LLMs). You will be responsible for rapidly developing tools and platforms to evaluate, iterate, and productionalize models, ensuring their reliability and accuracy.
We are looking for the right candidate, and therefore are flexible on the levelling for this position ranging from mid- level to senior!
Responsibilities:
- Must have at least 4 years of Python experience
- Must have at least 4+ years working experience
- Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation.
- Take a hands-on approach to quickly prototype, test, and iterate on solutions, moving from proof-of-concept to production.
- Employ a data-driven methodology to drive model accuracy, leveraging evaluation results to inform decisions.
- Collaborate with cross-functional teams to integrate developed tools and ensure they meet production standards.
- Communicate findings and ranking metrics clearly to both technical and non-technical stakeholders.
Why Join Us:
Join a dynamic and innovative team at the forefront of LLM development. You will have the opportunity to work on challenging projects, rapidly build impactful solutions, and drive data-informed improvements that push the boundaries of what LLMs can achieve.
- Open to feedback and happy to work in an iterative position
- Degree in Computer Science or related field, or equivalent experience.
- Strong proficiency in Python
- Experience developing evaluation suites, datasets, and data-driven tools for model reliability testing.
- Ability to rapidly prototype and iterate on solutions while maintaining a focus on production-level quality.
- Strong problem-solving skills and a creative mindset
- Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.
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