Evolutionary Scale, Inc.
11-50 employees
Information Technology and Services
Cloud Computing
Data Management
About Evolutionary Scale, Inc.
Evolutionary Scale, Inc. is a technology company specializing in cloud data management and migration solutions. Their mission is to help enterprises modernize their data infrastructure by providing scalable, secure, and efficient cloud migration services and data management platforms. They focus on enabling businesses to seamlessly transition to cloud environments while optimizing data accessibility and security. Evolutionary Scale serves clients across various industries, leveraging advanced technology to simplify complex data challenges and accelerate digital transformation.
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Description
- EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale.
- The organization combines frontier artificial intelligence and biology to study cellular systems, aiming to unlock new scientific discoveries to help cure or prevent disease.
- Backed by the Chan Zuckerberg Initiative, Biohub unites top scientists, engineers, and technologists across hubs in California, New York, and Chicago.
- The role is a hybrid position requiring onsite presence at least 60% of the time, approximately 3 days a week.
- Responsibilities include deploying research models to production, collaborating with partners to integrate technology, managing artifact tracking, conducting large-scale data pipeline work with tools like Apache Spark, and improving MLOps practices.
- The engineer will also handle DevOps tasks such as cluster monitoring, testing, and continuous integration.
- Preferred qualifications include experience with Pytorch, distributed computing frameworks like Spark or Dask, cloud platforms (AWS, Google Cloud, Azure), and containerization tools like Docker and Kubernetes.
- The salary range is $150,000 to $350,000+ annually, with benefits including 401(k) matching, paid volunteer time, family benefits funding, and relocation support.
- The organization offers a collaborative environment focused on cutting-edge science and open data sharing.
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Requirements
- Experience with deploying machine learning models to production environments.
- Experience with data pipeline tools such as Apache Spark, Apache Arrow, Pandas, and distributed computing.
- Knowledge of MLOps best practices, including data management, deployment, reliability, and monitoring.
- Ability to modify research pipelines, including fast data loading and distributed training.
- DevOps experience including cluster monitoring, unit testing, integration testing, and continuous integration.
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Benefits
- Provides a generous employer match on employee 401(k) contributions.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving.