Senior Ai Engineer (Mlops/Devops/Sre)

Details of the offer

At Atomic AI, we blend artificial intelligence with structural biology, pioneering new frontiers in biotech.
Our groundbreaking R&D platform, featured on the cover of Science, revolutionizes the design of molecules and medicines.

We focus on creating strategies to treat or cure diseases previously considered untreatable by targeting RNA structure.
As an interdisciplinary team combining computational and experimental biology, we firmly believe that our people are our greatest strength and the key to our success.
The Opportunity:

As a Atomic AI's Senior AI Engineer, you will combine expertise in MLOps with broader AI engineering skills to drive our mission of revolutionizing drug discovery and development through AI-powered solutions.

This is a hybrid position with three days a week in our South San Francisco office.
Key Responsibilities: Lead MLOps initiatives to streamline model development, deployment, and monitoringCollaborate with cross-functional teams to integrate AI solutions into our biotech workflowsRequired Qualifications: 8+ years of intensive and relevant experience in DevOps / SRE / SWE rolesStrong proficiency in PythonExtensive experience with Kubernetes and DockerProven track record in AWS cloud infrastructure, especially for ML applicationsExpertise in designing and implementing MLOps pipelinesExperience with MLOps observability tools and principlesSolid understanding of deep learning architectures and their applicationsExperience with version control systems (e.g., Git) and CI/CD practicesPreferred Qualifications: Familiarity with Bazel build systemExperience with infrastructure-as-code tools, particularly Pulumi and TerraformFamiliarity with PyTorch and JAXKnowledge of experiment tracking tools like Weights and BiasesBackground in bioinformatics or computational biology
Salary Range: $190,000/year to $220,000/year + equity + benefits

Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.


Nominal Salary: To be agreed

Source: Appcast_Ppc

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