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# Senior AI Researcher - New York, NY

- **Company:** NextDeavor, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Language Modeling, Pytorch, Evaluation Pipelines, Large Language Models, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.careerjet.com/job/us4c2c5722488ff88c14a31f25fc07624e/eaa

## About the Role

* Demonstrated original ML research output (published papers, widely cited preprints, significant OSS releases, or shipped research that materially advanced a production system)
 * Hands-on post-training experience with large language models (7B+ parameters) and end-to-end ownership of data, training, and evaluation pipelines
 * Direct experience with at least one of: RL from verifier/reward signals, preference optimization (DPO/IPO/KTO), or supervised fine-tuning with synthetic data pipelines
 * Experience with agentic LLM systems: tool use, multi-step reasoning, planning, or long-horizon execution
 * Ability to design evaluations that measure real capability and avoid contamination or specification gaming
 * Strong Python and PyTorch skills, with experience in distributed multi-GPU training
 * Clear technical writing demonstrated by research memos, experiment writeups, or papers

Here's What Else Might Help You Out

 * Working knowledge of offensive security fundamentals (trainable on the job)
 * Prior work on code-generating or code-reasoning models
 * Experience with sparse, delayed, or expensive reward signals in RL
 * Research in robustness, adversarial ML, or red-teaming of language models
 * Familiarity with long-horizon agent benchmarks (e.g., SWE-bench, Cybench, WebArena)

## Description

You will lead original research advancing core models that enable offensive-security capabilities, shaping experiments end-to-end and shipping results into production. You will collaborate closely with the VP of AI Engineering, the CEO, and a small AI engineering team to turn research outcomes into deployable capabilities. Work model: New York preference but open to remote; you must work EST hours.
Here's How You'll Make an Impact on the Team

 * Drive original research on offensive-security agents: reasoning, planning, tool use, and long-horizon autonomous operation
 * Advance the post-training pipeline, including supervised fine-tuning, RL from verifier signals, LoRA adaptation, and adversarial evaluation
 * Extend co-evolutionary self-training architecture with curriculum design, self-play dynamics, and reward modeling for security outcomes
 * Design and execute experiments end-to-end, from hypothesis through writeup
 * Build internal evaluation harnesses where no public benchmark exists and measure capability rigorously
 * Translate research into production handoffs: model cards, deployment notes, and documented failure modes
 * Contribute to external research outputs: papers, talks, responsible disclosures, and technical writing
 * Collaborate with engineering teammates on research methodology and experimental design