ML Engineer - Speech

voize; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Stock options

30 vacation days plus your birthday

Germany Transport Ticket

Urban Sports Club

Regular company off-sites

Learning platforms: Blinkist/Audible

Free language courses

Flexible hours, hybrid setup

Job summary

voize is seeking a Machine Learning Engineer focused on speech recognition. You will design and deploy deep learning models, train with real user data, and ship features that directly impact frontline users. You’ll optimize inference for mobile and hosted environments, and own the ML pipeline from concept to production.

Join a fast-growing startup with stock options, generous vacation, and learning platforms. Hybrid/remote options enable collaboration across teams while maintaining flexibility.

Qualifications

• Hands-on experience in deep learning for speech recognition with production-ready systems.
• Strong STT system development skills for real-world applications.
• End-to-end ML lifecycle ownership: prototyping, productionisation, monitoring.

Responsibilities

• Design, train, evaluate, and deploy deep learning models for speech recognition.
• Improve on-device inference and cloud backend performance.
• Collaborate with product, ML, and engineering teams to ship features.

Skills

Deep learning for speech

ASR systems

STT development

End-to-end ML process

Python & PyTorch

Education

Bachelor's degree in CS/ ML

Tools

Python

PyTorch

TensorFlow

Job description

Описание

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!

Задачи

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 productionisation, maintenance, monitoring and optimisation
• 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.
• 30 vacation days plus your birthday off.
• Germany Transport Ticket.
• Urban Sports Club.
• Regular company off‑sites.
• Access to learning platforms such as Blinkist and Audible.
• Free language courses.
• Flexible working hours and a good hybrid set‑up.

no matter who you are or what background you have!