Machine Learning Engineer

This range is provided by Bland. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00 / yr - $250,000.00 / yr

About Bland

At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we’re a quickly growing team striving to change the way customers interact with businesses. We’ve raised $65 million from Silicon Valley’s finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more.

About The Role

As a Senior ML Engineer at Bland, you’ll own the intelligence behind our voice AI platform. You’re not just optimizing models— you’re architecting the ML systems that make our agents sound genuinely human and drive real business outcomes for enterprise customers. Your work directly impacts whether our agents can handle complex, nuanced conversations or sound like corporate robots.

What You’ll Do

• Own the full ML stack : Lead engineering and optimization efforts for our self-hosted STT, LLM, and TTS systems from research through production deployment.
• Build production-grade inference systems : Design and implement high-throughput ML infrastructure serving millions of daily voice interactions with sub-second latency requirements.
• Drive model performance : Research and implement novel approaches to improve our models’ conversational quality, RAG pipelines, and reduce latency.
• Optimize for enterprise scale : Handle complex inference optimization challenges—model quantization, efficient serving architectures, and cost optimization for large-scale deployments.
• Collaborate across teams : Work closely with Deployment Engineers to understand customer requirements and translate business needs into ML solutions that actually work in production.
• Push the boundaries : Experiment with cutting-edge techniques in conversational AI, real-time speech processing, and multi-modal understanding to keep Bland at the forefront of voice AI.

What Makes You a Great Fit

Bonus Points If You Have

How You Show Up

Benefits and Pay

Compensation Range

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Telecommunications

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