Model Research Engineer (m/f/d)

At Deepslate, we are building Speech to Speech Voice AI models that sound and act indistinguishable from a human. We believe everyone should be able to use it.

When it comes to text and images, giants like OpenAI and Google have already cracked the code. With video, Veo3, Sora and others are closing the gap rapidly. With its endless languages, dialects, accents, subtle intonations, and speech melodies voice remains a highly complex unsolved frontier.

That is exactly why we started Deepslate.

Backed by top‑tier investors from the Tech and AI sectors, as well as a major German VC fund, we are incredibly well‑funded and moving fast.

We are building the future of communication.

We aren't trying to build another standalone platform; instead, we are the intelligence engine powering countless other applications. Whether it's integrated as a module by a CRM provider, plugged into another Voice AI platform, or directly embedded into an enterprise system by our integration partners – our model is everywhere.

Location

Remote / Berlin (Office available)

Language Requirement

Fluent German

Compensation

100 - 160k

Your Role

This role focuses on researching, training, and refining Deepslate’s proprietary Voice AI model. Your mission is to tackle unsolved challenges such as real‑time emotion recognition, subtle intonations, and natural speech melodies to build a top‑tier voice model from the ground up.

What You’ll Do

• Research & Train : Design, train, and evaluate our proprietary deep learning models. Drive new capabilities like emotion recognition and integrate them into our core architecture.
• High‑Performance ML Systems : Optimize models for maximum inference speed and efficiency, ensuring they can handle massive datasets and real‑time workloads at scale.
• Software Engineering : Write clean, production‑ready code. Translate complex research into highly available architectures.
• MLOps & Tooling : Build and maintain internal pipelines for data processing, model training, and evaluation to make iteration cycles fast and reliable.

What We’re Looking For: Must‑Haves

• Deep expertise in Python and modern deep learning frameworks (e.g., NeMo, PyTorch, or similar).
• Proven hands‑on experience working on high‑performance, large‑scale ML systems, particularly in the context of Language Modeling (text or audio).
• A true startup mindset: comfortable navigating the chaotic codebase of an early‑stage startup and driven to improve it.
• Drive and Vision: actively shape the product, architect solutions, and take complete project ownership rather than just processing tickets.
• Motivated by the prospect of joining a VC‑backed, fast‑growing startup and scaling alongside us.

Nice‑to‑Haves

• Previous experience in a fast‑paced Startup or DeepTech environment.
• Hands‑on experience with audio processing, Speech‑to‑Text (STT), Text‑to‑Speech (TTS), or multimodal models.
• Interest in experimenting with inference engines in Rust in the future.
• Fluent German skills (spoken and written).

What We Offer

• True R&D Freedom : Time, resources, and trust to research and build technology that simply doesn’t exist yet.
• Competitive Compensation : Highly competitive salary from a well‑funded VC‑backed company.
• Serious Compute : Access to the hardware and cloud infrastructure necessary to train and test large‑scale models without bottlenecks.
• Absolute Flexibility : Fully remote work, asynchronous communication, and zero micro‑management.

Deepslate is an equal opportunity employer. We welcome applications from all qualified candidates regardless of gender, nationality, ethnic origin, religion, disability, age, or sexual orientation.