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Junior Research Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: Alexander Chapman
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), AI Business & Operations
  • Research/Development
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

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 on

You’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.

You’ll be:
  • 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
Who they're looking for

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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