ML Engineer (Fully Remote)

Noetik Ltd

United States

Remote

USD 150,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Flexible PTO
Health, dental, and vision coverage
401(k) match
Stock options
Parental leave

Job summary

Noetik Ltd is seeking talented engineers to advance AI research infrastructure in the United States. You will design and optimize distributed training and batch inference systems, and build researcher-facing CLIs and SDKs to accelerate experimentation.

We value performers who can scale GPU workloads and streamline data pipelines, enabling rapid, robust experimentation across oncology-focused foundation models. Join a hybrid team delivering impactful AI infrastructure.

Qualifications

  • Experience designing and evolving distributed training or batch inference systems.
  • Proven ability to optimize GPU utilization and data pipelines for performance.
  • Proficiency in building researcher-facing CLIs and SDKs for experimentation.

Responsibilities

  • Design and evolve distributed training and batch inference systems.
  • Optimize GPU utilization and data pipelines for performance.
  • Build researcher-facing CLIs and SDKs for experimentation.

Skills

Distributed systems
GPU optimization
Data pipelines
CLI tooling
SDK development

Job description

  • Work with a high-caliber team building systems at the forefront of AI.
  • Build tools and infrastructure for large-scale machine learning research.
Responsibilities:
  • Design and evolve distributed training and batch inference systems.
  • Optimize GPU utilization and data pipelines for performance.
  • Build researcher-facing CLIs and SDKs for experimentation.
Life at Noetik:
  • Flexible PTO and synchronized company breaks.
  • Comprehensive health, dental, and vision coverage.
  • 401(k) match, stock options, and parental leave.

NOETIK is a frontier therapeutics company using AI to understand human biology and improve oncology outcomes, building foundation models on proprietary multimodal data. It fosters a collaborative, interdisciplinary culture focused on solving hard problems together.

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