AI role · Open offer

Lead Speech & Audio ML Engineer

Focus: Voice AI

Paris · 50-100 employees · Enterprise · GenAI: No

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills0 tools

Apply now Find matching talent

Share this role

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 24 Rue de Mogador, Paris, IDF 75009, France
Compensation: EUR 95k-120k/year + bonus
Experience level: Lead
Team: Voice AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Snips is hiring a Lead Lead Speech & Audio ML Engineer on the Voice AI team (Hybrid · Paris, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Snips — Voice assistant tech (Sonos)

Role context: Voice AI · based in Paris · ~50-100 people · Enterprise · LLM/genAI focus: No.

You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain experts—with pragmatic ownership and clear stakeholder communication.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
TensorFlow

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Apply from this listing on Ganloss so your candidate profile, optional CV link, and cover note reach the hiring team together.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, and TensorFlow.
You have led LLM & generative AI initiatives across teams—setting technical direction, review standards, and rollout plans others could follow.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Apply from this listing on Ganloss so your candidate profile, optional CV link, and cover note reach the hiring team together.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

Marcus Thorne

ML Platform Lead

Open to contract-to-hire · $180k–220k TC · Remote · US East

Profile active · Apr 5

4 skills · 1 project · 1 role · 3 use cases

Built

Model flight deck
Internal UI for promote/rollback, canary traffic, and SLO dashboards per model version.
Demo Link

Top skills

PythonPyTorch

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

Lead Speech & Audio ML Engineer

AI talent you may also like

Marcus Thorne

Similar open roles

Omar El-Sayed

Camila Rojas

James Okoro

Nina Kowalski

ML Engineer — edge inference

ML Engineer — edge & on-device inference

Voice AI Engineer — ASR/TTS production

ML Engineer — On-device & Edge AI

Freelance Computer Vision Engineer — inspection & QC