Role overview
We're seeking an exceptional ML Engineer to join our team in building Sentient Chat, a multi-agent product aiming to compete with leading consumer AI competitors. This role is a unique opportunity to work on end-to-end AI system development, from data analysis to executing on tangible AI feature improvements. The ideal candidate will have a strong focus on data analysis, natural language processing, and understanding of consumer AI performance expectations.
What you'll work on
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Build data pipelines for natural language processing from Sentient Chat logs, analyze feedback, and extract product-level insights
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Run public and private benchmarks on internal AI sub-systems to assess performance across prototypes and competing products
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Own and compile custom datasets to define acceptance criteria throughout the product development lifecycle
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Conduct basic market research to suggest ways to improve AI performance on target metrics
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Organize scripts and data to present concrete AI failure cases and identify improvement areas
What we're looking for
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Experience in AI/ML: 2+ years of hands-on experience in data analysis, machine learning, or a related field, with a focus on natural language processing (NLP) and/or generative AI.
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Technical Skills: Strong proficiency in Python, with experience in libraries such as PyTorch, NumPy, and pandas.
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Data Analysis: Proven ability to collect, analyze, and interpret large datasets, with experience in data profiling and evaluation.
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Problem-Solving: Excellent problem-solving and analytical skills, with a proactive approach to challenges and a strong foundation in data science. Ability to derive and answer product-level questions to improve the end-consumer experience.
All successful candidates will be contacted within 72 hours.