Machine Learning Engineer Job at Evolutionary Scale in New York

New York, NY // Redwood City, CA, United States

EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. Together, we’re combining frontier artificial intelligence and frontier biology and building the technology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. Our mission is to unlock new scientific discoveries that will help cure or prevent disease. Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago.

In 2025, Biohub welcomed the EvolutionaryScale team - recognized for creating large-scale frontier AI systems for the life sciences - to accelerate the mission. Led by co-founder Alex Rives, who now serves as Head of Science at Biohub, the integrated organization is scaling up the compute and research infrastructure needed to build next-generation models of biology-powered by the largest cluster dedicated to open science.

We are at a pivotal moment in science offering a world-class interdisciplinary research environment across biology, data, and artificial intelligence and we will continue to hire for exceptional talent across these disciplines.

We are excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week.

The Role

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 qualifications

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.

Compensation
The salary range for this position is $150,000 to $350,000+ per year. Compensation package will vary based on job-related skills, level of experience, and knowledge.

We’re thankful to have an incredible team behind this work. To honor their commitment, we offer a wide range of benefits to support the people who make it all possible.

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.

Relocation support for employees who need assistance moving.

Why Join Us

Be part of atransformative scientific initiativebacked by CZI’s long-term commitment and resources.

Work alongsideworld-class researchersredefining how biology is understood and programmed.

Accessstate-of-the-art compute infrastructureand cutting-edge lab technologies.

Contribute to thefirst large-scale effort combining frontier AI with frontier biologyto solve disease.

Open Science that shares data, tools, and results to accelerate progress for everyone.

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In Summary: EvolutionaryScale is pioneering the next era of AI-powered biology to understand and program life at scale . The salary range for this position is $150,000 to $350,000+ per year . The role is a hybrid position requiring you to be onsite for at least 60% of the working month .

En Español:

Nueva York, NY // Redwood City, CA, Estados Unidos EvolutionaryScale, ahora parte de CZI Biohub, es pionera en la próxima era de la biología impulsada por IA para comprender y programar vida a escala. Juntos, estamos combinando inteligencia artificial fronteriza y biología fronteriz y construyendo la tecnología para estudiar cómo las células operan, se organizan y trabajan como parte de sistemas para entender por qué ocurre la enfermedad y cómo corregirla. Nuestra misión es desbloquear nuevos descubrimientos científicos que ayudarán a curar o prevenir enfermedades. Apoyada por la Iniciativa Chan Zuckerberg (CZI), Biohub opera como una organización sin fines de lucro uniendo a los principales científicos, ingenieros y tecnólogos con sede en California, Nueva York y Chicago. Este papel es un puesto híbrido que requiere estar en el lugar durante al menos el 60% del mes de trabajo, aproximadamente 3 días a la semana. El Role Contribuir al proceso de transición de investigación a producto mediante el despliegue de modelos a entornos de producción. Colaborar con investigadores e ingenieros de los socios de la compañía (clientes o socios académicos) para implementar la tecnología de la empresa dentro de su infraestructura. Ser representantes efectivos de la sociedad y nuestros productos ante socios y otros colaboradores externos. Gestionar el seguimiento de artefactos para diferentes modelos y datos afinados. Realizar trabajos de tubería de datos incluyendo el uso de Apache Spark, Apache Arrow, Pandas, computación distribuida para datos a gran escala. Ayudar a desarrollar mejores prácticas en MLOps, y pensar sobre el ciclo de vida completo de MLps, incluidos datos, ajuste rápido, reposibilidad, implantación y desarrollo de datos. Esto incluye tareas como monitoreo de grupos, pruebas unitarias y pruebas de integración de la base de código de investigación e integración continua. Qualificaciones preferidas Experiencia con Pytorch o programación de bajo nivel es una ventaja. experiencia con marcos informáticos distribuidos como Apache Spark o Dask. Conocimiento de plataformas de computación en nube como AWS, Google Cloud o Azure. Familiarización con herramientas de containerización y orquestación como Docker y Kubernetes. Compensación El rango salarial para este puesto es de $ 150.000 a $ 350.000 + por año. Para honrar su compromiso, ofrecemos una amplia gama de beneficios para apoyar a las personas que lo hacen todo posible. Proporciona un generoso empoderamiento sobre los empleados 401 ((k) contribuciones para apoyan la planificación del futuro. Paga tiempo libre para ser voluntario en una organización de tu elección. Apoyo al traslado de empleados que necesitan ayuda para moverse. Por qué unirte a nosotros Forma parte de una iniciativa científica transformadora respaldada por el compromiso y recursos a largo plazo de CZI. Trabaja junto con investigadores de clase mundial redefiniendo cómo se entiende y programa la biología. Acceso a infraestructura informática avanzada y tecnologías de vanguardia. Contribuye al primer esfuerzo a gran escala combinando enfermedad fronteriza AI con biología fronteriz para resolverla. Ciencia abierta que comparte datos, herramientas y resultados para acelerar el progreso para todos. #J-188-Ljbrff80