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8 часов назад

Member Of Technical Staff – Data Research Engineer (AI)

119 800 - 234 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Member Of Technical Staff – Data Research Engineer (AI): Designing and curating high-quality datasets to power frontier AI models with an accent on data collection strategies, dataset quality and integrity. Focus on data-driven model behaviors and aligning datasets with ethical and societal values.

Location: Must work from a designated hirify.global office at least four days a week if live within 50 miles of that location (U.S.)

Salary: USD $119,800 – $234,700 / USD $139,900 – $274,800 / USD $158,400 – $258,000 / USD $188,000 – $304,200 per year.

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

  • Create high-quality datasets for training and evaluation and run experiments on new datasets to assess their impact and determine the most effective data.
  • Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
  • Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
  • Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
  • Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Requirements

  • Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
  • 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
  • Proficiency in statistics and exploratory data analysis methods.
  • Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
  • Ability to communicate technical findings clearly to research and product teams.

Nice to have

  • Master’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.

Culture & Benefits

  • Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
  • The company values respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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