Junior Research Scientist
Listed on 2026-09-01
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), AI Business & Operations -
Research/Development
Data Scientist, AI Business & Operations
Junior Research Scientist - Series E AI Unicorn | NYC | On-Site
I'm working with one of the fastest-growing enterprise AI companies in the US as they continue to scale their core Research team in New York.
This isn't another early-stage AI company experimenting with LLMs. This business is already operating at serious scale:
- $250M Series E led by Andreessen Horowitz (a16z)
- $400M+ raised to date
- Recently surpassed $200M ARR
- 100% YoY growth for 5 consecutive years
- Technology used across 1 in 6 US apartments
- More than 1B AI-powered conversations processed
They're now looking for a Junior Research Scientist to work directly on the machine learning and LLM systems powering that scale.
What you'll be working onYou’ll join a high-calibre research group working across LLMs, machine learning, predictive modelling and applied AI research
, taking ideas from research through to production.
- Developing and improving ML architectures for sophisticated conversational AI systems
- Working with the latest large language models on production-scale datasets
- Building predictive models around user behaviour and engagement
- Applying advanced mathematics, statistics and ML to difficult real-world problems
- Experimenting with new research and translating it into production systems
- Working closely with Engineering, Product and Data Science to deploy models at scale
This is particularly well suited to someone coming from a highly quantitative academic background:
PhD in Mathematics, Theoretical Physics, Computer Science or a closely related field
You should have:- Strong foundations in machine learning, statistics and mathematical modelling
- Excellent quantitative problem-solving ability
- Strong Python skills and experience with modern ML frameworks
- Genuine interest in LLMs / generative AI / applied ML research
- The ambition to work in an intense, high-ownership startup environment
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