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3 часа назад

Senior Research Engineer (AI)

216 700 - 303 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Senior Research Engineer (AI): Architecting and maintaining evaluation suites and fine-tuning pipelines for hirify.global's native Large Language Models with an accent on model safety, reasoning, and hirify.global-specific knowledge. Focus on building the "hirify.global Benchmark", implementing scalable SFT workflows, and developing Model-as-a-Judge systems to ensure model quality and rapid iteration.

Location: Remote (US)

Salary: $216,700–$303,400 USD

Company

hirify.global is a community platform built on shared interests, passion, and trust, hosting authentic conversations and over 100,000 active communities.

What you will do

  • Architect and maintain the "hirify.global Benchmark" evaluation suite for model capabilities across safety, reasoning, and hirify.global-specific knowledge.
  • Build scalable SFT (Supervised Fine-Tuning) pipelines for instruction tuning.
  • Develop Model-as-a-Judge systems for automated model evaluation.
  • Execute Synthetic Data generation strategies to improve model generalization.
  • Collaborate with Safety Engineering to translate safety policies into evaluation metrics.
  • Debug post-training instability to identify alignment tax or capability degradation.

Requirements

  • 4+ years of professional experience in machine learning engineering, with a focus on LLM fine-tuning or evaluation.
  • Fluency in Python and PyTorch, with experience using Hugging Face Transformers, vLLM, or lm-eval-harness.
  • Deep understanding of Instruction Tuning (SFT) and how data quality impacts model behavior.
  • Experience building Evaluation Pipelines, including custom domain-specific benchmarks.
  • Familiarity with distributed training (FSDP/DeepSpeed) for fine-tuning jobs.
  • Strong data engineering skills for curating and cleaning instruction datasets.

Nice to have

  • Experience with MLFlow, Weights & Biases, or other experiment tracking tools.
  • Experience with Synthetic Data generation (e.g., Self-Instruct papers).

Culture & Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs.
  • 401k with Employer Match.
  • Flexible Vacation & Paid Volunteer Time Off.
  • Generous Paid Parental Leave.
  • Global Benefit programs for workspace, professional development, and caregiving support.
  • Family Planning Support, Gender-Affirming Care, Mental Health & Coaching Benefits.

Hiring process

  • Interviews may be recorded, transcribed, and summarized by AI, with an opt-out option.
  • Personal information collected during interviews includes Identifiers, Professional and Employment-Related Information, and Sensory Information.

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