Data Scientist/Machine Learning Engineer
At a glance
Highlights
- Remote work within Americas timezones
- Early‑stage product with strong market fit
- Team of ex‑Google/Meta engineers
Why this role might suit you
The role offers a chance to apply cutting‑edge LLM techniques to real‑world data challenges, collaborating with a small, high‑caliber team while working remotely across the Americas.
Skills
About the role
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
Finetuning small language models
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.
Adding new signals: this usually involves scrubbing, matching and normalizing new signals and matching to our existing ontology
Pushing solutions into production environments, which may involve touching data pipelines and/or backend systems
Requirements
Located within Americas timezones
More about Sumble
Our Tech Stack:
ML/Data: PyTorch, Huggingface, Gemma models, LORA, VLLM, Skypilot, Marimo
Languages & Frameworks: Python, FastAPI, React, Typescript
Cloud Platform: Google Cloud Platform (GCP)
Databases: PostgreSQL, DuckDB
Infrastructure: Cloud Run
Product/Design: Figma, Vercel V0
Challenges We Tackle:
Transforming noisy datasets into high-quality data products
Running expensive analytics computations efficiently
Managing the complexity of a growing number of data sources, machine learning models, and large data operations
Create a great PLG experience with upsell pathways
Benefits
Medical, dental, and vision (US)
401k (US)
Target 4 weeks PTO
Questions about this role
How do I apply to this Data Scientist/Machine Learning Engineer role at sumble-inc?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Data Scientist in United States?
Compensation for Data Scientist roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Scientist hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does sumble-inc use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.