Machine Learning Researcher, Multimodal LLMs
- Pay
- $160,000 – $280,000 per year
- Location
- San Francisco, CA
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 31 days ago
Skills & highlights for this role
- LLMs
- fine-tuning
- speech-language models
Also useful
- neural audio codecs
- real-time voice systems
- agent frameworks
Stated benefits & perks
- Dental
- Vision
About the role
Location: San Francisco, CA or Remote
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: $160,000 - $280,000
- Meaningful equity
- Full healthcare, dental, vision
- Office in Levi's Plaza, SF
- High autonomy, high impact
About Bland
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.
Equal opportunity and legal notices
Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic.
Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
From Bland AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Machine Learning Researcher, Multimodal LLMs role at Bland AI?
The Machine Learning Researcher, Multimodal LLMs posting at Bland AI states compensation of $160,000 – $280,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Bland AI's official career site.
Where is the Machine Learning Researcher, Multimodal LLMs job at Bland AI located?
This Machine Learning Researcher, Multimodal LLMs position at Bland AI is located in San Francisco, CA. Always check Bland AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Researcher, Multimodal LLMs at Bland AI?
For the Machine Learning Researcher, Multimodal LLMs role, Bland AI highlights experience with LLMs, fine-tuning, speech-language models. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Researcher, Multimodal LLMs position at Bland AI?
This listing links directly to Bland AI's Ashby application page. You can apply directly on Bland AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.