AI Researcher

Job not on LinkedIn

🔥 10 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 15%

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Arc

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1825

🏭 Manufacturing

👥 B2C

🏨 Hospitality

💰 $68M Private Equity Round - Arc on 2015-02

Manufacturing • B2C • Hospitality

Arc is a world-leading tableware and glassware manufacturer that has been 'beautifying tables around the world' for more than 200 years. The Group designs and produces everyday innovative and sustainable glass solutions for eating, drinking and home experiences through brands such as Luminarc, Arcoroc, Cristal d'Arques Paris and Chef&Sommelier. Arc serves both consumers and professional customers (mass distribution, hotels, restaurants, bars and cafes, wine merchants, collective catering), operates production sites in France, the United States, China and the United Arab Emirates, manufactures over 4 million items daily, employs about 6,100 people (3,750 in France) and reported €688 million in sales in 2024. The company is also engaged in circular-economy initiatives, offering sustainable glass containers as alternatives to single-use plastics.

📋 Description

• Improve models enabling natural real-world speech understanding, intent recognition, natural conversation, and real-time order ringing • 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 with real-time constraints • Collaborate 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, real-time AI product • Opportunity to help shape future products and research direction

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