Remote Machine Learning Engineer

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones , empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. Research and develop multimodal AI technologies that improve the way people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Work within the team and research engineers to solve problems for film makers & sound designers Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows Collaborate with product and engineering teams to implement ML research in commercial products Work with the product owner to identify where ML creates the most value for customers Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions A degree in a relevant field or extensive professional experience Experience in commercial machine learning research and development Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF) Experience working with data, training and evaluating machine learning models Experience with multimodal architectures — audio-language, vision-language, or both Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Experience with vision-language models, particularly Qwen-VL or similar Experience with Agile software development practices Familiarity with VST/AU plugin architectures and real-time audio constraints Experience delivering ML technologies shipped in commercial audio software Knowledge of sound design and audio post-production workflows C++ reading ability Previously registered audio machine learning patents Problem Solver: We face challenges head-on and find creative, practical solutions. Data-Driven: We let insights and evidence guide our decisions, not guesswork Competitive salary and benefits package Private health insurance Opportunities for professional growth and development Flexible, remote working environment Exciting projects in a fast-growing, innovative company At Krotos, we value diversity and are committed to fostering an inclusive environment.