Senior Software Engineer, Galileo

Platform

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

PyTorch

Keras

Mid and Senior level

San Francisco Bay Area

2+ days a week in office (Burlingame, CA )

AI observability and evaluation platform

Job no longer available

AI observability and evaluation platform

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Job no longer available

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

PyTorch

Keras

Mid and Senior level

San Francisco Bay Area

2+ days a week in office (Burlingame, CA )

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Company mission

To give AI teams a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.

Job

Company

Role

Who you are

4+ years of experience building scalable platforms and/or real-time machine learning systems
Strong experience building large scale and complex distributed systems
Experience building backends for real-time services in Python
Experience working with systems like Docker and Kubernetes
Experience building applications on cloud environments such as AWS, GCP, Azure
Excellent communication skills for collaborating with cross-functional partners
A startup mindset, biasing towards thoughtful action with minimal direction

Desirable

Experience building with ML frameworks like PyTorch, Tensorflow, Keras
Engaged in all steps of the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist

What the job involves

As an early software engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team
We’re looking for a seasoned software engineer, interested in building the foundations of the core services powering Galileo's API and product

Our take

Generative AI evaluation company Galileo is here to help solve AI's measurement problem. To empower a future where all enterprises run on machine learning, it supplies AI teams with a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.

The value of this offering is that is enables teams to build at speed while ensuring their apps are both tailored for purpose and secure. The product is powered by research-backed evaluation metrics, and is already used by hundreds of AI teams from startups to Fortune 50 enterprises.

Galileo has experienced rapid growth. For example, in 2024, it saw an over 800% boost to its revenue. It has also raised substantial funding that supports the scaling of its go-to-market strategy, expansion of product development efforts and a further investment in research.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Oct 2024

$45m

SERIES B

Nov 2022

$18m

SERIES A

Total funding: $68.1m

Company benefits

Best-in-class coverage in Health / Dental / Vision for our team
Wellness stipend for everyone on the team to take good care of themselves, even outside of work
While we’re at work, our meals are taken care of, so we can get all the fuel we need to be at our best
Investing in ourselves also includes investing in our retirement. We provide a 401-K plan to encourage saving some portion of our paychecks
Take time off as needed to rest, refresh or rejuvenate
We strongly believe in supporting our team as well as helping them support those near and dear to them

Company HQ

SoMa, San Francisco, CA

Leadership

Vikram Chatterji

(Co-Founder & CEO)

Member of the Forbes Technology Council and Advisor at CMU Tech & Entrepreneurship. Was previously Product Management Lead of Google AI at Google as well as Head of Product for Consumer/Data Science at Premise Data.

Yash Sheth

(Co-Founder & CTO)

Former Staff Software Engineer Google. Has also worked as a Graduate Teaching Assistant at UC Irvine, interned in Software Development at salesforce.com and was Associate Systems Engineer at Perfect Carboys.

Atindriyo Sanyal

(Co-Founder & CPO)

An Advisor for various companies, they previously were part of Engineering Leadership at Uber AI. Was also Senior Engineering Lead at Apple and a Graduate Researcher at the Networks Research Laboratory at UCLA.

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