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Sumble
Data Scientist/Machine Learning Engineer
Sumble · United States · via Built In
10 hours ago
Full–time
Apply on Built In
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Job highlights
Identified by Google from the original job post
Qualifications
Located within Americas timezones
Languages & Frameworks: Python, FastAPI, React, Typescript
Cloud Platform: Google Cloud Platform (GCP)
Benefits
Product/Design: Figma, Vercel V0
Medical, dental, and vision (US)
401k (US)
1 more items(s)
Responsibilities
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)
Finetuning small language models
Improving the quality of existing data using scalable approaches
7 more items(s)
Job description
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
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AO Globe Life
[Hiring] Benefits / Sales Associate @AO Globe Life
AO Globe Life · via Remotive
19 hours ago
Full–time
No Degree Mentioned
Apply on Remotive
Job description
Role Description
This role involves working as a Remote Benefits / Sales Associate.
• Speak with clients on Zoom
• Show them benefit options (training provided)
• Help them enroll if they qualify
• Simple follow-up system
Qualifications
• Must live in the United States
• 18+
• Reliable internet
• Willing to learn
Requirements
• No experience required
• Full training + scripts provided
• Pre-qualified appointments supplied
• No cold calling strangers
• Weekly performance pay structure
• Promotions based on performance (not seniority)
Benefits
• Permanent work-from-home setup
• Weekly performance-based pay + uncapped bonuses
• Many first-year associates reach $80K+
Company Description
• Globe Life AO (Fortune 500 Company)
• 100% Remote — U.S. Only
• Full-Time or Part-Time Available
💡 Quick Summary
Seeking a career-building opportunity? The Hiring] Benefits / Sales Associate @AO Globe position is now open for candidates interested in the Work from home Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
