Senior ML Engineer – Real-Time AI at Scale (Germany)

HellaGoodAudio; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Inworld is a research lab focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run inference behind modular APIs designed for high-volume, realtime workloads.

Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more.

Qualifications

• Inference optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
• Model acceleration. Hands-on experience with quantization, distillation, caching strategies, continuous batching, paged attention, and speculative decoding.
• High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
• Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
• Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
• Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
• Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
• Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.

Skills

Inference optimization

Model acceleration

High-performance systems

Distributed systems & scaling

Open-source contributions

Full-cycle ownership

English fluency

Education

PhD in CS, Physics, Math or equivalent

Job description

Inworld is a research lab focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run inference behind modular APIs designed for high-volume, realtime workloads.

Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more.