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Machine Learning Researcher, Multimodal LLMs

Bland AI

Hybrid
Full-time
Senior
$140k–$250kPosted 3mo ago

Real job — pulled straight from Bland AI’s careers page · Verified May 26, 2026 · No reposts.

Job description

Bland AI is hiring a Machine Learning Researcher, Multimodal LLMs — a full-time, remote role ($140k–$250k). Apply directly on Bland AI's careers page below.

Machine Learning Researcher, Multimodal LLMs

Department: Engineering

Location: San Francisco

Compensation: $140K – $250K • Offers Equity • Offers Bonus

Employment Type: FullTime

Machine Learning Researcher, Multimodal LLMs

Location: San Francisco, CA or Remote

About Bland

At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human.

We’ve raised $100M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs.

The Role

We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You’ll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production.

At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day.

What Makes You a Great Fit

Strong LLM / Multimodal Background

  • 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

Fast Experimental Loop

  • You can go from idea → dataset → experiment → conclusion in days

  • You know how to design experiments that actually answer the question

Product Intuition

  • Strong sense for what makes an interaction feel natural vs robotic

  • Ability to translate abstract modeling ideas into user-facing improvements

Builder Mentality

  • You take ownership from research through deployment

  • You thrive in ambiguous, fast-moving environments

  • You care about impact, not just elegance

How You Show Up

  • You think in systems, not just models

  • You obsess over latency, correctness, and real-world behavior

  • You are comfortable discarding ideas quickly when data disagrees

  • You push toward simple abstractions for complex problems

Bonus Points

  • Experience with real-time voice systems or conversational AI

  • Background in tool-using agents or agent frameworks

  • Experience with multimodal datasets (audio + text + actions)

  • Contributions to LLM or speech-related research or open source

Compensation & Benefits

  • Competitive salary: $180,000 – $260,000

  • Meaningful equity

  • Full healthcare, dental, vision

  • Office in Levi's Plaza, SF

  • High autonomy, high impact

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Frequently asked questions

What is the salary for Machine Learning Researcher, Multimodal LLMs at Bland AI?

The estimated salary range for Machine Learning Researcher, Multimodal LLMs at Bland AI is $140,000 - $250,000 USD per year.

Is Machine Learning Researcher, Multimodal LLMs at Bland AI a remote job?

Yes, Machine Learning Researcher, Multimodal LLMs at Bland AI is a remote position. Candidates in San Francisco, CA may be preferred.

What skills are required for Machine Learning Researcher, Multimodal LLMs at Bland AI?

The required skills for Machine Learning Researcher, Multimodal LLMs at Bland AI include: Python, Machine Learning, API, GraphQL, gRPC.

What is the seniority level for Machine Learning Researcher, Multimodal LLMs at Bland AI?

Machine Learning Researcher, Multimodal LLMs at Bland AI is a Senior level position.

How do I apply for Machine Learning Researcher, Multimodal LLMs at Bland AI?

You can view the full description and apply for Machine Learning Researcher, Multimodal LLMs at Bland AI on EchoJobs: https://echojobs.io/job/bland-ai-machine-learning-researcher-multimodal-llms-vukyd.