Founding AI/ML Engineer - Prediction Platform, Remote

Higher Ground Labs

New York (NY)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Lightning Rod Labs in a remote-first setting is building AI systems that predict real-world outcomes at scale. You will build platforms for training and serving prediction agents on multi-node GPU clusters, turning unstructured data into actionable learning signals.

We seek Python experts with LLM fine-tuning experience, a track record of shipping impactful systems, and a strong ownership mindset. You’ll operate with autonomy across cloud platforms and data pipelines.

Qualifications

  • Excellent Python skills and experience fine‑tuning LLMs.
  • Track record of shipping impactful systems.
  • Ownership mindset and autonomy.
  • Proof of skill — GitHub, portfolio, papers, or demos.
  • Scale experience: millions of samples and large distributed GPU clusters.
  • Technical range: rapid analysis in notebooks to robust pipelines.
  • Data intuition: statistics, probability, data hygiene, ML best practices.
  • Cloud fluency across modalities and platforms (e.g., GCP, Azure, AWS).

Responsibilities

  • Build cutting-edge systems that teach AI real‑world reasoning at scale.
  • Create and evolve infrastructure for training and serving prediction agents.
  • Scale training and inference on large multi-node GPU clusters.
  • Transform messy, unstructured streams into training signals.
  • Design novel objectives, rewards, and calibration methods for causal factors.
  • Experiment, optimize the training framework, and demonstrate state‑of‑the‑art results.
  • Own delivery end‑to‑end from data collection to deployment.

Job description

Lightning Rod Labs in a remote-first setting is building AI systems that predict real-world outcomes at scale. You will build platforms for training and serving prediction agents on multi-node GPU clusters, turning unstructured data into actionable learning signals.

We seek Python experts with LLM fine-tuning experience, a track record of shipping impactful systems, and a strong ownership mindset. You’ll operate with autonomy across cloud platforms and data pipelines.

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