Senior ML Engineer - Speech (m/f/d)

voize

Berlin +6 more

RemoteCareer-pivot friendly

Who this role is best for

Aimed at experienced ML engineers with speech recognition expertise who thrive in fast-paced startup environments and value collaboration and flexibility.

Best fit for

Experienced ML engineers with speech recognition expertise and a track record of deploying models in production
— “Shipped ML models to production with Python and PyTorch”
Candidates who are comfortable with end-to-end ML ownership and continuous model optimization
— “Experience with owning the ML process end-to-end: from concept and exploration, to model productionization, maintenance, monitoring and optimization”
Individuals who want to work in a collaborative, hybrid environment with a strong social impact mission
— “We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany”

Things to consider

The role requires working across multiple European cities, which may involve travel or relocation.
— “whether you work from our Berlin office or remotely across Germany”
The position demands a hands-on approach with direct user feedback integration and real-world data usage.
— “train AI models with real data”

How to stand out

Highlight your experience in deploying speech models on mobile and hosted environments.
— “engineer fast inference on mobile devices and in hosted environments”
Showcase your ability to refine models in production and monitor their performance.
— “improve a diverse family of speech models live in the field”
Emphasize your background in applied ML research and product design with real-world impact.
— “excited to work at the cutting edge of product design, applied ML research, and MLOps”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

successful model deployment
positive user feedback
high model accuracy

Typical background

machine learningspeech recognitionAI companions

Skills & requirements

Required

Speech RecognitionDeep LearningASR SystemsSpeech-to-textModel ProductionizationModel MaintenanceModel MonitoringModel OptimizationPythonPyTorchSoftware EngineeringClean CodeTestsGuardrails

Stack & domain

Deep LearningSpeech RecognitionAsr-systemsSTTPythonPyTorchSoftware EngineeringCommunicationProblem-solvingTeamworkLeadershipAI

About the role

Original posting from voize via Ashby

🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB!
At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.
Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact.
Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.
As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!
💡 YOUR MISSION
If you're a Machine Learning Engineer experienced with Speech recognition and are excited to work at the cutting edge of product design, applied ML research, and MLOps, then go ahead and apply! With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.
🚀 YOUR DAILY BUSINESS - NO TWO DAYS ARE ALIKE
Take ownership for the design, training, evaluation, and deployment of our deep learning models in the space of speech recognition
The models you build and refine are at the heart of our applications and directly impact the end-user
You'll improve a diverse family of speech models live in the field, across languages and products, and engineer fast inference on mobile devices and in hosted environments.
🤝 YOUR SKILLSET - WHAT YOU BRING TO THE TABLE
Several years hands-on experience in Deep Learning for speech recognition, including developing and optimising ASR-systems (not just academic research)
Excellent foundation in STT (Speech-to-Text) system development with a focus on real-world applications
Experience with owning the ML process end-to-end: from concept and exploration, to model productionization, maintenance, monitoring and optimization
Shipped ML models to production with Python and PyTorch
Strong software engineering: clean code, tests, guardrails
🌱 GROWING TOGETHER - WHAT YOU CAN EXPECT AT VOIZE
We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people
We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany
Become a co-creator of our success with stock options
Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses
You decide when you work best, that means flexible working hours and a good hybrid set-up.
✨ READY TO TALK? APPLY NOW! 🚀
We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!

Source: voize careers (Ashby)