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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