Назад
Company hidden
5 дней назад

Staff Applied Scientist (AI)

197 000 - 295 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Applied Scientist (AI/Legal Tech): Building and optimizing intelligent systems for the legal domain with an accent on agentic AI, document review automation, and scalable production models. Focus on designing and executing statistically sound experiments, applying modern ML/LLM techniques, and ensuring auditable, defensible, and responsible AI systems.

Location: Hybrid, with options in Illinois, Kentucky, Kansas, Idaho, Delaware, and other US locations.

Salary: $197,000–$295,000 USD

Company

hirify.global is building a world-class Applied Science team to push the boundaries of intelligent systems in the legal domain, focusing on making legal work faster, more accurate, and more scalable.

What you will do

  • Write scalable, maintainable, and shippable code for customer problems.
  • Collaborate with fellow Applied Scientists, Engineers, Product Managers, Designers, and Customers.
  • Design and automate statistically sound experiments into reusable benchmarks.
  • Rapidly prototype and productionize AI- and ML-powered models.
  • Select appropriate modeling techniques, from decision trees to frontier LLMs.
  • Ground work in evidence while remaining open to change and new ideas.

Requirements

  • 6–10+ years of professional experience in ML, Applied Science, or a closely related area.
  • Hold a Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Applied Math) OR equivalent professional experience.
  • Proven ability to prototype quickly and simplify for production.
  • Comfortable reading and applying research, with a skeptical approach to validating results.
  • Experienced with a range of modeling techniques, from classic ML to large-scale generative models.
  • Familiar with modern MLOps tooling (e.g., containers, workflow orchestration, telemetry, deployment patterns and experimentation).
  • Strong Python programming skills, experienced in data and machine learning libraries (e.g., numpy, pytorch, scikit-learn, pyspark).
  • Capable communicator, able to explain complex ideas to technical and non-technical stakeholders alike.

Culture & Benefits

  • Join a thoughtful, kind, and technically excellent group who value impact, learning, and trust.
  • Opportunity to lead, contribute, and grow in a supportive and intellectually rich environment.
  • Position eligible for total compensation including a competitive base salary, an annual performance bonus, and long-term incentives.
  • Commitment to competitive, fair, and equitable compensation practices.

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