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Machine Learning Researcher, Multimodal LLMs

Bland AISan FranciscoEngineering
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Salary
$160K - $280K USD
Job type
Full-time
Posted
21 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Machine Learning Researcher position at Bland involves building next-generation multimodal large language models in San Francisco. This full-time engineering role suits professionals who want to design advanced conversational AI systems that combine speech, text, and real-time reasoning for enterprise phone agents.

Key Responsibilities

Build industry-leading conversational AI models for Bland's agent architecture.
Advance the next-generation multimodal LLM stack from initial concept to production.
Define how agents listen, think, and act in real time by integrating streaming audio, tool execution, and dynamic context.
Scale research models into production systems capable of serving millions of calls every single day.
Design and execute rapid experiments to test datasets, modeling ideas, and alignment techniques.

Requirements

Strong background working with large language models, multimodal models, or speech-language systems.
Deep practical understanding of prompt engineering, fine-tuning, and alignment methodologies.
Familiarity with neural audio codecs and modern multimodal LLM techniques.
Ability to maintain a fast experimental loop from idea and dataset to experiment and conclusion in days.
Product intuition to translate abstract modeling concepts into natural, user-facing improvements.
Builder mentality with the drive to take ownership from research through deployment in fast-moving environments.

Nice to Have

Practical experience building real-time voice systems or conversational AI applications.
Background developing tool-using agents or agent frameworks.
Experience working directly with multimodal datasets combining audio, text, and actions.
Prior contributions to open source projects or research related to LLMs or speech technology.

Skills and Tools

Large Language Models (LLMs)
Multimodal Models
Neural Audio Codecs
Prompting, Fine-Tuning, and Alignment Techniques

Salary and Benefits

Competitive annual salary ranging from $160,000 to $280,000.
Meaningful equity package.
Full healthcare, dental, and vision benefits.
Office workspace located in Levi's Plaza, San Francisco.
High autonomy and high impact work environment.

About the Company

Bland empowers enterprises to build scalable AI phone agents, creating models and infrastructure that make automated business interactions feel natural, reliable, and human. The organization has secured $100 million in funding from prominent investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders from Twilio, Affirm, and ElevenLabs.

How to Apply

Interested candidates should visit the official Bland careers page to submit an application and complete the onboarding process.

Skills and tech stack

LLM

Questions candidates ask

What is the salary range for the Machine Learning Researcher role?

The annual salary ranges from $160,000 to $280,000, accompanied by meaningful equity and full healthcare benefits.

Where is the position located?

The role is based in San Francisco, California, with an office located in Levi's Plaza.

What core technologies will I work with?

The work focuses on multimodal large language models, streaming audio, neural audio codecs, and real-time conversational AI systems.

What experience is required for this position?

Candidates need a strong background in LLMs, multimodal models, or speech-language systems, along with expertise in fine-tuning, prompting, and alignment techniques.

How can I apply for this job?

Candidates can apply directly through the official Bland careers page.

Ready to apply?

The application is on the official Bland AI careers page.

Apply on company site