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Mira Mace — Senior AI Engineer, Voice Systems

United StatesUnited States·San Franciscosenior
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Streaming STT/TTS, telephony (Twilio/SIP), multi-agent orchestration, RAG, reinforcement learning (inferred from the Hard Skills

Technical Tools
Machine Learning EngineerData

Responsibilities

~1 min read
  • 1–10 years of experience in AI/ML engineering, building systems including voice AI [Required] (see Source Inconsistencies — intake call and role description both say 1–3 years)
  • Has shipped voice AI to production [Must have]
  • Shows some kind of excellence in their experience (worked at a growing startup [Series A–D], shipped major products, raised funding, olympiad, etc.) [Required]
  • Ex-YC founder, or from stalling later-stage companies (e.g. Eightfold AI), or Big Tech with prior startup experience [Strongly preferred]
  • Undergraduate degree in CS from a top 25 university in the US or Canada [Must have] (role description states this more loosely as "top university" — see Source Inconsistencies)
  • Production voice AI stack — streaming STT/TTS, telephony (Twilio/SIP), latency optimization, endpointing [Required]
  • Agentic systems — context engineering, multi-agent orchestration, tool use, RAG [Required]
  • Built evaluation pipelines for voice systems — metrics, regression suites, production signal [Strongly preferred]
  • Rapid learner who thrives in ambiguity — builds the playbook rather than following one [Required]
  • Willing to relocate to SF Q1 2027 [Required] (tension with "remote open for strong candidates" — see Source Inconsistencies)
  • None specified in source (no "Traits to Avoid" markers present in the HTML).
  • Salary: $180K–$220K (posted); $200K–$240K discussed on intake call
  • Equity: Competitive (early-stage equity; % not specified)
  • On-site policy: Remote (US); preference for SF or Boston; relocation to SF expected Q1 2027 per the Miscellaneous requirement
  • Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
  • Employment type: Full-time
  • Location: San Francisco, CA / Remote (US)
  1. What's one thing in your life where you've demonstrated peak excellence, whether it's academic, professional, athletic, or something else entirely?
  2. Describe a production AI agent or voice AI system you've built end-to-end. What was the hardest part of getting it to work reliably in the real world?
  3. Are you able to work on-site in San Francisco or Boston, or are you looking for a fully remote role?

Yes/No per item. Priority labels carried from the JD qualifications.

  • Has shipped voice AI to production [Must have]
  • Undergraduate degree in CS from a top-25 university in the US or Canada [Must have]
  • 1–10 years of experience in AI/ML engineering, building systems including voice AI [Required]
  • Shows some kind of excellence in their experience (growing startup [Series A–D], shipped major products, raised funding, olympiad, etc.) [Required]
  • Production voice AI stack — streaming STT/TTS, telephony (Twilio/SIP), latency optimization, endpointing [Required]
  • Agentic systems — context engineering, multi-agent orchestration, tool use, RAG [Required]
  • Rapid learner who thrives in ambiguity — builds the playbook rather than following one [Required]
  • Willing to relocate to SF Q1 2027 [Required]
  • Ex-YC founder, or from stalling later-stage companies (e.g. Eightfold AI), or Big Tech with prior startup experience [Strongly preferred]
  • Built evaluation pipelines for voice systems — metrics, regression suites, production signal [Strongly preferred]

No dedicated "Ideal Companies" section was present in the source. The only company signals are: Eightfold AI (named as a "stalling later-stage" example), and founding-team pedigree from Google, Meta, Dropbox, and Amazon. If there is a fuller Ideal Companies list on the page, please supply it — I have not fabricated one.

For reference only — do not source these specific profiles.

Luke (Muwei) G.LinkedIn AI Software Engineer | Greater Seattle Area

  • Rapid career progression — promoted every year, reaching Staff level quickly
  • Attended McGill (competitive school) and Harvard for master's
  • Worked at Supio, a legal AI startup — relevant agentic/AI experience at an early-stage company
  • Trajectory signals high performance

Areas for improvement (per source): Seattle-based and looking for remote (may need location flexibility); $200K–$240K expectation may be at the higher end; reason for leaving Supio unclear.

Note: a "View all profiles" link was present — additional example profiles may exist that were not expanded in the copied HTML.

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

Listing Details

First seen
August 18, 2026
Last seen
August 18, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
August 18, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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davidjoseph-coMira Mace — Senior AI Engineer, Voice Systems