About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a
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Role overview
Job description
Research Engineer, Applied AI Location: Germany About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re buildin
…What they are looking for
Skills & requirements
Qualification
5+ years of experience in ML research, applied ML, or ML systems Strong fundamentals in Python and PyTorch Hands-on experience with transformers, diffusion models, state space models etc. Experience fine-tuning large models and building training/evaluation pipelines Deep understanding of transformers, attention mechanisms, & optimization techniques Comfort reading and implementing techniques from research papers Nice to Have: Experience with efficient inference techniques (KV cache optimization, attention variants, MoE routing, flow matching) Background in hardware-aware ML optimization or quantization Familiarity with profiling tools (PyTorch Profiler, Nsight, custom instrumentation) Publications in generative modeling, efficient inference, or ML systems Contributions to open-source ML projects The salary range for this position is €116,000 to €154,000 EUR per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.
Department · Applied Research

Hiring company
EnCharge AI
AI Compute from the Edge-to-Cloud for Every Business. Transformative technology for AI computation, breaking records in efficiency and sustainability to enable state-of-the-art models uninhibited by power, space, and cost constraints.
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