Machine Learning Researcher, Multimodal LLMs

Job not on LinkedIn

🔥 11 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $160k - $280k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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This company has sponsored H1B visas in the past.

👻 Ghost score 6%

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Bland

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

💳 Fintech

Artificial Intelligence • Enterprise • Fintech

Bland is your platform for making ultra-realistic AI phone calls. It enables businesses to create and manage voice interactions with customers efficiently by designing conversational pathways that map out dialogues, set flows, and automate calls 24/7. With features like customizable voice personalities, multilingual support, and seamless integration into existing CRM systems, Bland streamlines communication while ensuring a human-like interaction experience. The platform also offers robust analytics and security measures, making it ideal for enterprises looking to enhance customer engagement.

📋 Description

• Contribute to the development of Bland's next-generation multimodal LLM stack • Combine speech, text, tools, and real-time reasoning into a unified system • Build conversational AI models powering Bland's agent • Define how agents listen, think, and act in real time • Integrate streaming audio, tool execution, and dynamic context • Take research ideas through production systems serving millions of calls per day • Translate modeling ideas into user-facing improvements • Own work from research through deployment • Optimize for latency, correctness, and real-world behavior

🎯 Requirements

• Experience with LLMs, multimodal models, or speech-language systems • Deep understanding of prompting, fine-tuning, and alignment techniques • Familiarity with neural audio codecs and modern multimodal LLM techniques • Ability to rapidly progress from idea to dataset to experiment to conclusion • Ability to design experiments that answer the question • Strong sense for what makes an interaction feel natural versus robotic • Ability to translate abstract modeling ideas into user-facing improvements • Ownership from research through deployment • Comfort working in ambiguous, fast-moving environments • Experience with real-time voice systems or conversational AI • Background in tool-using agents or agent frameworks • Experience with multimodal datasets involving audio, text, and actions • Contributions to LLM or speech-related research or open source • New hires must complete Form I-9 and employment will be verified through E-Verify

🏖️ Benefits

• Meaningful equity • Full healthcare, dental, vision • High autonomy, high impact • Office in Levi's Plaza, SF

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