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Samaya

AI analytics and domain-focused consultancy

Applied Scientist - ML

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field.
  • Strong background in deep learning, large language models, and NLP techniques.
  • A strong track record of first-author publications in top AI/NLP conferences, such as NeurIPS, ICML, ACL, or EMNLP.
  • Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills.

Responsibilities

  • Formulate an ML problem from product requirements.
  • Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems.
  • Create and productionize cutting-edge research prototypes for knowledge work at scale.
  • Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts.
  • Optionally mentor ML interns and publish research findings with the community.

Desired Qualifications

  • 2+ years of experience in an industry applied ML research environment.
  • Familiarity with retrieval-augmented generation, reasoning, LLM training, and reinforcement learning techniques.

About the Company

Samaya

AI analytics and domain-focused consultancy

Samaya AI provides tailored AI and data analytics services for professionals across industries. It uses large language models and other AI tools to analyze client data, generate insights, and support decision-making and operational efficiency. The company operates through consultancy engagements, project-based work, and subscription models to deliver customized AI solutions. Unlike generic AI vendors, Samaya focuses on adapting its technology to each client's domain, building long-term partnerships and practical capabilities that clients can apply to real business decisions. Its goal is to help clients harness AI to improve decision-making, efficiency, and strategic outcomes.

Company size
11-50
Company stage
Series A
Total funding
$43.8M
Headquarters
Mountain View, CA
Founded
2022

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