Data Scientist/Machine Learning Engineer
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Before you apply
LocationUnited States
Work moderemote
DepartmentEngineering
Company size8+ people
PostedAug 31, 2025 · 1y ago
Verified live13h ago
May no longer be actively hiring
Posted by the company on Aug 31, 202544% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Located within Americas timezones
Skills
PyTorch
Huggingface
Gemma models
LORA
VLLM
Skypilot
Marimo
Python
FastAPI
React
Typescript
GCP
PostgreSQL
DuckDB
Cloud Run
Figma
Vercel V0
Benefits
Medical insurance
Dental insurance
Vision insurance
401(k)
PTO
About the company
Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.
Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.
Our Team: We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.
What you’ll do
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Finetuning small language models
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Improving the quality of existing data using scalable approaches. Examples include: making sure URLs are associated the right company, we have the correct HQ address, we have mapped parents-subsidiary using techniques like LLM validation, SERP, and triangulating across sources.
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Adding new signals: this usually involves scrubbing, matching and normalizing new signals and matching to our existing ontology
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Pushing solutions into production environments, which may involve touching data pipelines and/or backend systems
Requirements
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Located within Americas timezones
More about Sumble
Our Tech Stack:
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ML/Data: PyTorch, Huggingface, Gemma models, LORA, VLLM, Skypilot, Marimo
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Languages & Frameworks: Python, FastAPI, React, Typescript
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Cloud Platform: Google Cloud Platform (GCP)
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Databases: PostgreSQL, DuckDB
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Infrastructure: Cloud Run
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Product/Design: Figma, Vercel V0
Challenges We Tackle:
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Transforming noisy datasets into high-quality data products
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Running expensive analytics computations efficiently
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Managing the complexity of a growing number of data sources, machine learning models, and large data operations
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Create a great PLG experience with upsell pathways
Benefits
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Medical, dental, and vision (US)
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401k (US)
•
Target 4 weeks PTO