AI Researcher

Job not on LinkedIn

🔥 3 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Arc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

🔥 Funding within the last year

💰 $10.8M Seed Round on 2026-05

Artificial Intelligence • SaaS • B2B

Arc is a voice AI platform (Sparkpoint Inc. , d/b/a Arc) that automates and optimizes fast-food drive‑thru ordering as a digital channel. Arc delivers brand‑specific, real‑time voice agents that integrate with existing POS systems and base stations (no replacement hardware required), enabling AI‑powered upsells, improved order accuracy, faster lines, and operational insights via dashboards and A/B testing. The product targets quick‑service restaurant operators and emphasizes measured lift in average order value, accuracy, and labor savings.

📋 Description

• Improve models that understand natural, real-world speech, user intent, and natural conversation while ringing orders in real time • Own speech accuracy as an ongoing research problem • Model data to test and train the system against rare or difficult-to-collect situations from live calls • Build benchmarking practices to determine whether changes improve the system • Evaluate models and approaches for conversation quality and the underlying audio pipeline while balancing accuracy and real-time constraints • Work with applied AI and backend teams to turn research findings into product improvements

🎯 Requirements

• Strong applied ML/research background in industry or a research lab • Hands-on experience taking models from experiment to production • Experience with speech/audio ML • Solid Python skills • Comfort training ML models from scratch • Experience designing rigorous evaluation methodology, including statistically sound benchmarking, synthetic data generation, or dataset curation, for non-deterministic systems • Comfort operating with ambiguity and turning fuzzy quality problems into measurable research questions • Strong execution from research idea to production deployment

🏖️ Benefits

• Significant influence over the product and research culture at an early-stage company • Opportunity to work on a live, high-stakes real-time AI product • Opportunity to shape future products and research direction

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