Software Engineer, Graft
Backend & Machine Learning Infrastructure
$170-200k
Simplified AI lifecycle management
Open for applications
Simplified AI lifecycle management
21-100 employees
Open for applications
$170-200k
21-100 employees
Company mission
To bring the capabilities of the world’s leading AI companies to everyday businesses.
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 values
- Diversity and Inclusion
- Collaboration & Communication
- Bias for Action
- Customer Focus
- Trust
Company HQ
SoMa, San Francisco, CA
Articles
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.
Maria Kazandjieva, PhD
(Co-Founder)Former Director of Engineering at Netflix and Systems Software Engineer at Calxeda.
Eric Schkufza, PhD
(Co-Founder)Former Principal Scientist at Amazon, Senior Researcher at VMware, and Expert Code Review at Feinberg Day Alberti & Thompson.
Mick Hakobyan
(Co-Founder)Former Software Engineer at Meta, Netflix, and Microsoft.
Irina Calciu, PhD
(Co-Founder)Former Senior Researcher at VMware and Research Intern at Microsoft.
Brian Calvert, PhD
(Co-Founder)Former Staff Data Scientist at Cruise Automation and Senior Imaging Scientist at Intel.
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