Senior DevOps Engineer, Unlearn.AI

$130-190k

AWS

Docker

Kubernetes

Python

Bash

Linux

Terraform

Jenkins

Prometheus

Grafana

RDS

Mid and Senior level

San Francisco Bay Area

Generative machine learning methods for medicine

Job no longer available

Generative machine learning methods for medicine

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningeCommerceScience

Job no longer available

$130-190k

AWS

Docker

Kubernetes

Python

Bash

Linux

Terraform

Jenkins

Prometheus

Grafana

RDS

Mid and Senior level

San Francisco Bay Area

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningeCommerceScience

Company mission

To advance artificial intelligence to eliminate trial and error in medicine.

Job

Company

Role

Who you are

At least 4 years of professional experience (in industry) as a DevOps Engineer
Solid understanding of Cloud Infrastructure, preferably AWS (EC2, S3, ECS, RDS, VPC, CloudWatch etc.)
Experience with using and implementing IaC - terraform/terragrunt, pulumi etc
Experience in containerization technologies like Docker, Kubernetes, ECSExperience with Linux, networking and other infrastructure technologies
Experience in building, and managing CI/CD pipelines using tools like CircleCI, Jenkins etc
Experience with monitoring tools like DataDog, Prometheus, Grafana
Good scripting skills using bash or Python
Ability to debug problems that span systems and design solutions that span the whole stack
Energized by focusing on the needs of our users, both internal and external
Holds themselves and others to a high bar when working with production systems
Ability to work in our San Francisco office at least 2 days per week

What the job involves

Architect, provision and manage Infrastructure using IaC
Build, manage efficient CI/CD pipelines
Secure and monitor our infrastructure, applications
Troubleshoot performance issues, system availability, and application availability
Take ownership of production systems and collaborate across the technology stack
Maintain and drive engineering best practices

Our take

Clinical trials supporting the development of new drugs typically drag out for a number of years. With the root of this problem being the lack of qualified participants, especially when drugs reach critical phase 3 studies, which often require hundreds or thousands of participants to test the investigational drug.

Machine learning generative AI startup, Unlearn.AI, is looking to tackle this challenge and transform the way clinical trials are performed. The company specializes in clinical trial optimization through its proprietary technology, called the "Digital Twin", which creates a virtual replica of a patient population in order to simulate the effects of different treatments. Through this approach, researchers are able to run clinical trials with smaller sample sizes, reducing the time and costs associated with traditional clinical trials.

Since its inception in 2017, Unlearn.AI has worked with a number of pharmaceutical companies as well as academic institutions in order to improve clinical trial designs and accelerate drug development efforts. With a bright future on the horizon for the AI startup, Unlearn.AI has the potential to revolutionize healthcare, diagnostics, and treatment.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 6 rounds)

Feb 2024

$50m

SERIES C

Mar 2023

$15m

LATE VC

Total funding: $130.7m

Company benefits

100% employer-covered medical, dental, and vision insurance for you and your family
Company-paid life insurance, AD&D insurance, short-term/long-term disability insurance
401k plan with generous matching
Paid parental leave
Professional development budget to attend conferences, workshops, classes, and more

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Charles Fisher

(CEO)

Graduated from Harvard University with a Ph.D. in Biophysics. Previously worked as a Machine Learning Engineer at Leap Motion, as well as a Principal Scientist at Pfizer.

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