Software Engineer, Graft

Backend & Machine Learning Infrastructure

$170-200k

Kubernetes

Python

Mid and Senior level

Remote in US

Simplified AI lifecycle management

Open for applications

Simplified AI lifecycle management

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSCloud Computing

Open for applications

$170-200k

Kubernetes

Python

Mid and Senior level

Remote in US

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSCloud Computing

Company mission

To bring the capabilities of the world’s leading AI companies to everyday businesses.

Job

Company

Role

Who you are

In this role, we are looking to join forces with experienced backend engineers who value technical challenges, broad impact, and autonomy
A minimum of 3 years of experience as a backend engineer
Proficiency in Python programming
Hands-on experience with Kubernetes, Dask, and PostgreSQL
Familiarity with ML-specific open-source tools such as MLFlow, Sematic, and vector databases
Solid understanding of machine learning fundamentals, particularly foundation models, embeddings, and large language models (LLMs), and a passion for applying ML to solve real-world problems
Strong problem-solving abilities and a track record of thriving in fast-paced startup environments
Excellent communication skills and a demonstrated ability to collaborate effectively within a team

What the job involves

Build and maintain production pipelines for diverse Machine Learning applications, including semantic search, classification, and chat systems
Design, implement, and optimize workflow orchestration and scheduling systems
Work on scalability, for both compute and artifact storages
Implement advanced techniques for processing and managing unstructured data
Help implement techniques for processing unstructured data
Contribute to product strategy with a focus on usability for non-expert users

Our take

The rise in AI infrastructure has resulted in a bit of a learning curve for companies wishing to incorporate AI into their existing infrastructure and workflows. Graft makes the AI of the 1% accessible to the 99% by providing companies with an all-in-one AI management solution that helps them overcome traditional obstacles with its cloud-native, easily implemented solution.

This helps companies save time and money, as they don’t need a dedicated team to build and maintain the infrastructure or have prior machine learning skills. Founded in 2021, the company emerged from stealth in May 2022 with its GV-led pre-seed investment, and it has since gone on to raise significant additional funds. This is an encouraging sign of the company’s growth potential as its Modern AI platform democratizes access to advanced AI technology.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Aug 2023

$10m

SEED

Mar 2023

$10m

SEED

Total funding: $24.5m

Company benefits

Fully remote
Unlimited/Untracked PTO
Medical, dental, vision, and life insurance coverage
401k with employer matching
Early exercise available for all stock option grants
Paid parental leave
Access to physical and mental wellness discounts
Stipend for home office equipment

Company HQ

SoMa, San Francisco, CA

Leadership

Adam Oliner, PhD

(Co-Founder & CEO)

Former Head of Machine Learning at Slack and Director of Engineering at Splunk. Co-Founder of Kuro Labs.

Eric Schkufza, PhD

(Co-Founder)

Former Principal Scientist at Amazon, Senior Researcher at VMware, and Expert Code Review at Feinberg Day Alberti & Thompson.

Brian Calvert, PhD

(Co-Founder)

Former Staff Data Scientist at Cruise Automation and Senior Imaging Scientist at Intel.

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