Senior ML Platform Engineer

Job not on LinkedIn

🕒 June 23

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ting Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🔧 Hardware

☁️ SaaS

👥 B2C

💰 Series C on 2021-12

Hardware • SaaS • B2C

Ting Labs is a safety-focused company that sells a plug-in electrical sensor plus a subscription service that detects early signs of electrical hazards (micro-arcing) and alerts homeowners and a 24×7 Fire Safety Team to prevent electrical fires. The Ting Sensor is a DIY, plug-in device paired with a mobile app and a monitoring subscription that provides real-time alerts, outage and frozen-pipe notifications, lifetime sensor replacement, a $1,000 remediation credit for electrician visits when needed, and guided support to resolve hazards. Ting emphasizes consumer home protection (claims: 1,000,000+ families trust Ting, 30,000+ potentially devastating fires identified/prevented, and prevention of ~4 out of 5 electrical fires) and also offers grid intelligence and enterprise solutions for utilities and first responders to detect grid faults and outage information. The product is hardware-centric but delivered as an ongoing service combining device, cloud analytics, and expert human response.

📋 Description

• Drive architectural improvements to our internal ML training frameworks, including modularization and experiment tracking • Adapt and optimize existing fire hazard detection algorithms for new electrical environments and grid configurations • Build and maintain scalable data pipelines that process high-frequency sensor data and feed downstream systems • Develop dashboards and automated tooling to monitor models, identify drift, and own processes to ensure models continue to meet their performance expectations • Maintain a deep understanding of our stack, and collaborate across data science, product, and fire safety leadership to conceptualize and deliver improvements

🎯 Requirements

• A degree in Mathematics, Science, or an Engineering Field • 8+ years of combined education and experience working with large-scale data analysis/processing • Expert-level fluency in Python • Experience with a Linux-based development workflow (e.g., git, SSH, Make, shell scripting) • Ability to work effectively in a fully remote, fast-paced environment • Independent, self-learner, excellent problem solver

🏖️ Benefits

• Competitive salary + equity • Health, dental, and vision insurance • 401(k) with match