6 дней назад
Senior Software Engineer, ML Platform (AI)
189 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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