Mira Mace — Senior AI Engineer, Voice Systems

United States·San Franciscosenior

Machine Learning EngineerData

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Streaming STT/TTS, telephony (Twilio/SIP), multi-agent orchestration, RAG, reinforcement learning

Requirements Summary

real-time streaming speech-to-text and text-to-speech, telephony (for example Twilio or SIP), latency tuning, and endpointing Strong agentic-systems experience: context engineering,

Technical Tools

Machine Learning EngineerData

Responsibilities

~1 min read

→Automating tasks that healthcare advocates currently do manually, including outbound voice calls to insurance, doctors, pharmacies, and patients
→Building and improving agentic search and multi-agent orchestration systems that coordinate across complex healthcare workflows
→Designing evaluation infrastructure to measure and improve the quality of AI automations so advocates increasingly rely on them
→Implementing reinforcement-learning loops that use real actions to train and improve models over time
→Shipping fast and iterating directly with the team that listens to real conversations daily

Tech stack: Streaming STT/TTS, telephony (Twilio/SIP), multi-agent orchestration, RAG, reinforcement learning

Requirements

~1 min read

Has shipped voice AI to production, not just prototypes or demos
1 to 10 years in AI/ML engineering, including hands-on work on voice systems
A track record with a production voice stack: real-time streaming speech-to-text and text-to-speech, telephony (for example Twilio or SIP), latency tuning, and endpointing
Strong agentic-systems experience: context engineering, multi-agent orchestration, tool use, and retrieval-augmented generation
A clear signal of standout achievement, for example building at a high-growth startup, shipping major products, raising funding, or a comparable distinction
A computer science undergraduate degree from a top-25 university in the US or Canada
Comfortable operating in ambiguity, the kind of engineer who builds the playbook rather than following one
Willing to relocate to San Francisco by Q1 2027

Nice to Have

~1 min read

Founder experience (for example YC), time at a fast-scaling later-stage company, or big-tech experience paired with an earlier startup chapter
Experience building evaluation pipelines for voice systems: quality metrics, regression suites, and production-signal monitoring

What We Offer

~1 min read

✓Voice is the product, not a feature. Phone conversations are how the work gets done in healthcare, so you would own the company's core capability rather than a side project.

✓Join at an early stage on a small team, where your decisions set the technical direction.

✓A founding team drawn from leading technology companies, with repeat-startup experience.

✓Durable moats in progress: reinforcement learning from real interactions, plus compounding local network effects across the care ecosystem.

Salary: $180K–$220K
Equity: Competitive (early-stage equity)
On-site policy: Remote (US); preference for SF or Boston; relocation to SF expected Q1 2027
Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
Employment type: Full-time
Location: San Francisco, CA / Remote (US)