Senior Software Engineer, Galileo

ML Backend

$180-225k

+ Pre-IPO Stock Options

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Tensorflow

Cassandra

Azure

RabbitMQ

Celery

PyTorch

Keras

FastAPI

Senior and Expert level

San Francisco Bay Area

Office located in Burlingame, CA

AI observability and evaluation platform

Be an early applicant

AI observability and evaluation platform

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Be an early applicant

$180-225k

+ Pre-IPO Stock Options

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Tensorflow

Cassandra

Azure

RabbitMQ

Celery

PyTorch

Keras

FastAPI

Senior and Expert level

San Francisco Bay Area

Office located in 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

5+ years of experience building Data or AI/ML products
Experience building APIs in Python (FastAPI preferred)
Experience building large scale distributed systems and familiarity with
Messaging and Pub-Sub systems such as RabbitMQ/Kafka
Storage/database systems similar to Postgres, MongoDB, Cassandra, S3
OLAP systems such as ClickHouse, Pinot
Orchestration systems such as Celery
Experience building test suites using frameworks such as PyTest/PyUnit
Experience working effectively during the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist
Excellent communication skills for collaborating with cross-functional partners
High productivity and care to help teams collaborate more effectively and efficiently
A startup mindset, biasing towards thoughtful action with minimal direction

Desirable

Experience working with Docker and Kubernetes
Experience building applications on at least one of AWS, Google Cloud, or Microsoft Azure
Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)
Experience building agentic applications (like LLMs, rags, agents, etc.) with common frameworks (like OpenAI, langChain, crewAI, etc.)

What the job involves

As an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team
We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML and passionate about the opportunities in Observability and Reliability for GenAI
Technical Design and Architecture - you will champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders
Planning and Execution - you will work with your team to help plan the roadmap and execute it
PR and Design Reviews - you will uphold the engineering excellence/quality bar by reviewing your peer’s PRs
Collaboration - you will collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work
Advance Engineering - you will participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates

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.

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 6 more jobs at Galileo