Senior Artificial Intelligence Engineer, Atomic AI

MLOps/DevOps/SRE

$190-220k

+ Equity

AWS

Docker

Kubernetes

Python

Terraform

PyTorch

Bazel

Git

Pulumi

Senior and Expert level

San Francisco Bay Area

Drug discovery company

Job no longer available

Drug discovery company

21-100 employees

HealthcareB2BArtificial IntelligenceBiologySaaSScience

Job no longer available

$190-220k

+ Equity

AWS

Docker

Kubernetes

Python

Terraform

PyTorch

Bazel

Git

Pulumi

Senior and Expert level

San Francisco Bay Area

21-100 employees

HealthcareB2BArtificial IntelligenceBiologySaaSScience

Company mission

To unleash the power of artificial intelligence on molecular structure to engineer RNA biology, creating medicines that can tackle diseases that were previously untreatable.

Job

Company

Role

Who you are

8+ years of intensive and relevant experience in DevOps / SRE / SWE roles
Strong proficiency in Python
Extensive experience with Kubernetes and Docker
Proven track record in AWS cloud infrastructure, especially for ML applications
Expertise in designing and implementing MLOps pipelines
Experience with MLOps observability tools and principles
Solid understanding of deep learning architectures and their applications
Experience with version control systems (e.g., Git) and CI/CD practices

Desirable

Familiarity with Bazel build system
Experience with infrastructure-as-code tools, particularly Pulumi and Terraform
Familiarity with PyTorch and JAX
Knowledge of experiment tracking tools like Weights and Biases
Background in bioinformatics or computational biology

What the job involves

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
Lead MLOps initiatives to streamline model development, deployment, and monitoring
Collaborate with cross-functional teams to integrate AI solutions into our biotech workflows

Our take

The creation of new drugs often relies on the discovery of previously unknown molecules. This may involve novel RNA structures that are able to target specific diseases. Atomic AI is a biotechnology company that combines machine learning with structural biology to unlock RNA drug discovery.

In this approach, the company is creating an entirely new field of drug discovery. Its platform can accurately predict 3D RNA structures, essentially creating effective and safer small molecules to be used against currently undruggable diseases.

The company launched in 2023 with strong funding that is being invested into accelerating growth, expanding operations and broadening its business reach. Its vision to revolutionise an industry is an exciting proposition, especially when considering its early support.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jan 2023

$35m

SERIES A

Jan 2021

$7m

SEED

Total funding: $42m

Company HQ

Oyster Point, South San Francisco, CA

Leadership

Raphael Townshend

(CEO & Founder)

Obtained a PhD in Computer Science from Stanford University. Previously underwent Internships for DeepMind, Scaled Inference, and Google.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 1 more job at Atomic AI