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6 дней назад

Senior Software Engineer, ML Platform (AI)

189 000 - 245 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, ML Platform (AI): Building and deploying AI infrastructure for distributed training and inference of biological foundation models with an accent on GPU clusters, storage throughput, and control-plane APIs. Focus on dispatching training jobs across multiple clouds, building evaluation and experiment-tracking infrastructure, and integrating telemetry and checkpointing systems.

Location: Seattle, Washington, United States

Base salary: $189,000–$245,000 annually, plus bonus and equity.

Company

An innovative biotech startup developing generative AI and foundation models for protein therapeutics, drug discovery, biology, and disease research.

What you will do

  • Develop and improve systems for dispatching distributed model-training jobs across clusters and multiple clouds.
  • Deploy storage subsystems that improve dataset management and training-data throughput.
  • Build evaluation infrastructure for executing and tracking model evaluations.
  • Create tooling that integrates model training with telemetry, experiment tracking, checkpointing, and other internal infrastructure.
  • Collaborate with AI Scientists and engineers to enable effective use of large-scale GPU infrastructure.

Requirements

  • 5+ years of industry experience building and deploying machine-learning systems in production.
  • Strong programming skills in Python and a solid understanding of machine learning.
  • Experience with infrastructure and operations tools such as Terraform and Ansible.
  • Experience with deep-learning frameworks such as Torch and Jax.
  • Experience with the infrastructure requirements of large-scale model training.
  • Experience leading technical projects, driving cross-functional execution, and collaborating in multidisciplinary environments.

Culture & Benefits

  • Open, flexible, and friendly work environment.
  • Competitive compensation and benefits package including base salary, bonus, and equity.
  • Opportunities to develop a long-term career in AI-driven drug discovery.
  • Opportunity to learn biology and visit the lab; prior biology experience is not required.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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