EvolutionaryScale · 2 months ago
Machine Learning Engineer
New York, NY // Redwood City, CA, United States
Full-time
Hybrid
Mid, Senior LevelEvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. The Machine Learning Engineer will contribute to transitioning research to product by deploying models, collaborating with partners, and managing data pipelines while cultivating best practices in MLOps.
Artificial Intelligence (AI)BioinformaticsBiotechnologyHealth Care
Responsibilities
Contribute to the process of transitioning research to product by deploying models to production environments
Collaborate with researchers and engineers at the company’s partners (clients or academic partners) to deploy the company’s technology within their infrastructure
Manage artifact tracking for different fine-tuned models and data
Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing
Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring
Work on simplification and improvement of codebase abstractions to accelerate research momentum
Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training
Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration
Qualification
Required
Contribute to the process of transitioning research to product by deploying models to production environments
Collaborate with researchers and engineers at the company's partners (clients or academic partners) to deploy the company's technology within their infrastructure
Be effective representatives of the company and our products to partners and other external collaborators
Manage artifact tracking for different fine-tuned models and data
Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing
Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring
Work on simplification and improvement of codebase abstractions to accelerate research momentum
Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training
Handle DevOps responsibilities, focused on making all engineers and researchers more productive
This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration
Preferred
Experience with Pytorch or low-level programming is a plus
Experience with distributed computing frameworks like Apache Spark or Dask
Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure
Familiarity with containerization and orchestration tools such as Docker and Kubernetes
Benefits
Provides a generous employer match on employee 401(k) contributions to support planning for the future.
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.
Company
EvolutionaryScale
EvolutionaryScale is a developer of biological artificial intelligence models for therapeutic design.
Founded in 2023
11-50 employees
H1B Sponsorship
EvolutionaryScale has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
Funding
Current Stage
Early StageTotal Funding
$142M2024-06-25Seed· $142M
Recent News
Company data provided by crunchbase