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Founding Engineer

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Before you apply
LocationSan Francisco, United States
Typefull-time
SeniorityLead
DepartmentEngineering
Company size1–10 people
PostedMar 10, 2024 · 2y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Mar 10, 2024
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
Experience architecting, developing, and testing full-stack code end-to-end
Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
Being proactive and a fast-learner with bias for action.
Experience working with relational and non-relational databases, especially Postgres
Experience with data and ML infra
Open source contributions and projects are a big plus.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Experience with ML infrastructure and LLM training is a big plus.
Skills
Python
Go
PyTorch
Tensorflow
Transformers
Postgres
AWS
Azure
GCP
Docker
Kubernetes
Airflow
SQL
NoSQL
Trellis is hiring founding engineer
Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. Trellis is a spinout from Stanford AI lab and is backed by leading investors including YC, General Catalyst, Telesoft partners, and executives at Google and Salesforce.
Why work with us?
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Be at the forefront of what’s possible in AI and Data infrastructure. Build a new database from the ground up.
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You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab.
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You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students).
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You work with founders who are engineers, not business majors.
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Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do.
Requirements:
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Experience architecting, developing, and testing full-stack code end-to-end
•
Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
•
Being proactive and a fast-learner with bias for action.
•
Open source contributions and projects are a big plus.
•
Experience working with relational and non-relational databases, especially Postgres
•
Experience with data and ML infra
•
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
What you will do
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Become the main owner of Trellis’s backend microservices and infrastructure.
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Design, build, and test new products and features from end-to-end.
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Write high-quality, scalable Python code. Work with major open-source tools, including Kubernetes, Docker, and Airflow, to manage deployment on cloud providers. Support enterprise customer deployments.
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You will work closely with the founders to lay the technical and operational foundation of Trellis engineering team.
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Architect and implement complex data pipelines and database systems (SQL/No-SQL).
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Experience with ML infrastructure and LLM training is a big plus.
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