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Research Engineer – Large Language Model Pretraining

Prime Intellect • United State
Visa Sponsorship Relocation
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AI Summary

Develop and scale pretraining pipelines for 1‑3T parameter models, driving architecture experiments and large‑scale runs. Optimize training throughput, reliability, and hardware utilization across distributed systems. Require strong Python, PyTorch, and distributed training expertise with hands‑on LLM experience.

Key Highlights
Build and extend pretraining code to transition experiments into full training runs
Profile and improve end‑to‑end training throughput and system resilience
Design and execute reproducible ablations to guide large‑scale model research

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Key Responsibilities
Build and extend the pretraining code in prime-rl, taking small experiments into full training runs.
Evaluate model architecture changes, including MoE and attention designs, against model quality and training cost.
Profile training jobs and improve end-to-end throughput, working with systems engineers on hardware-aware execution.
Make long runs resilient to failures, with reliable checkpointing and recovery.
Investigate training dynamics and numerical stability, checking that optimizations preserve convergence.
Run controlled ablations to guide larger experiments, keeping the setup and results reproducible.
Work with data and evaluation researchers on training mixtures, including midtraining and long-context experiments.

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Technical Skills Required
Python PyTorch Distributed training

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Benefits & Perks
Cash compensation $150-350k including equity incentives
Flexible work arrangements with remote or in‑office options
Visa sponsorship and relocation assistance

Job Description

Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
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Job Overview
Posted Date Oct 16, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Programming
Company Prime Intellect
Mentioned Skills
python ai cloudflare san datadog pytorch

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