Machine Learning Researcher, Multimodal LLMs
New
B
BlandAI, Voice
San Francisco, CA or Remote (US)Full-TimeMiddle
Salary180000 - 260000 USD per year
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Job Details
Requirements
- Experience with LLMs
- Experience with multimodal models
- Experience with speech-language systems
- Deep understanding of prompting techniques
- Deep understanding of fine-tuning techniques
- Deep understanding of alignment techniques
- Familiarity with neural audio codecs
- Familiarity with modern multimodal LLM techniques
- Ability to go from idea → dataset → experiment → conclusion in days
- Strong sense for what makes an interaction feel natural vs robotic
- Ability to translate abstract modeling ideas into user-facing improvements
- Take ownership from research through deployment
- Thrive in ambiguous, fast-moving environments
- Care about impact, not just elegance
- Think in systems, not just models
- Obsess over latency, correctness, and real-world behavior
- Comfortable discarding ideas quickly when data disagrees
- Push toward simple abstractions for complex problems
Responsibilities
- Contribute to the development of our next-generation multimodal LLM stack
- Combine speech, text, tools, and real-time reasoning into a single unified system
- Build industry-leading conversational AI models that power Bland's agent
- Take models from idea to production
- Define how agents listen, think, and act in real time
- Integrate streaming audio, tool execution, and dynamic context into a single coherent system
- Take ideas from research through production systems serving millions of calls per day
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