Research

Machine Learning Researcher, Audio $200,000 – 250,000+, Equity + Bonus Remote (US & Europe) / San Francisco, CA (Hybrid preferred) Full-time / PermanentDeepRec has partnered with a fast-growing, revenue-generating voice AI company empowering enterprises to build AI phone agents at scale. Recent Series C funding with backing from leading Silicon Valley investors, they are building the models and infrastructure that make voice the primary interface between businesses and their customers.This company has built all of their current models completely in-house, and every model ships to real, paying customers almost immediately. No speculative research track here. If you want your work to hit production within weeks, not years, this is that role. The OpportunityThe research team are working toward a single, ambitious goal: a fully speech-to-speech conversational AI model that understands and responds like a human, in real time. You'll work across the core building blocks of that roadmap, such as: speech-to-text, text-to-speech, neural audio codecs, and getting LLMs to understand and reason over audio directly.You'll take ideas from theory through large-scale training to production inference serving millions of calls a day, working closely with engineering and product teams to get your research into real customer environments fast. What You'll DoBuild TTS models that sound natural, expressive, and humanBuild STT systems that stay accurate with accents, background noise, and messy phone linesWork on neural audio codecs, compressing audio efficiently without losing qualityExplore LLM-Audio UnderstandingPrepare and manage large audio datasets, and design how models are trained on themRun training across many GPUs at once, keeping an eye on cost and speedRun fast, well-designed experiments to test what actually worksMake sure models run fast and reliably in production, not just in benchmarksWhat You'll Bring EssentialA genuine, self-driven interest in this area of research, shown through your own projects or papers, not just what a past employer asked you to doHands-on experience building or improving TTS, ASR, speech-to-speech, or neural audio codec systemsA track record of original, hands-on technical work, rather than off-the-shelf tools or common tutorial-style projectsStrong Python skills and experience training or running large modelsComfortable working autonomously DesirableExperience getting LLMs to understand or reason about audio - the team's top priority right nowExperience with model distillationExperience fine-tuning or training language or speech models with reinforcement learningPublished research or open-source work in speech or language AIBackground working with real-time speech systems or phone-based systemsA PhD is welcome but not required. Strong, independent work matters more than qualificationsWe encourage you to apply even if you don't meet every requirement. The right mindset and genuine curiosity matter as much as the resume. What's In It For YouGround-floor seat in a lean and growing research team with real scope to shape it as it scalesEvery research output ships to real customers, no long speculative research projectsHigh autonomy to shape your own research direction, tooling, and (for senior hires) the team itselfWork across ASR, TTS, neural codecs, and the frontier of LLM-audio understanding & speech-to-speech modellingWell-capitalised, fast-moving environment without big-lab bureaucracyHealthcare, dental, vision, meaningful equity, and every tool you need to succeedRemote-friendly across the US

Machine Learning Research Engineer Location: London (Hybrid) Job Type: Full-Time Salary: £80,000 - 100,000 We're partnering with an innovative deep-tech organisation developing next-generation computing technology and advanced AI solutions. As the company continues to expand its research capabilities, they're looking to appoint a Machine Learning Research Engineer to help drive the development of novel machine learning algorithms and applications. This is a rare opportunity to work on cutting-edge technology at the intersection of machine learning, advanced computing, and emerging hardware platforms, helping to solve complex real-world challenges for customers and partners worldwide.  The Opportunity As a Machine Learning Research Engineer, you'll develop and benchmark new machine learning approaches, with a particular focus on generative AI and advanced neural network architectures. You'll work alongside a multidisciplinary team of researchers and engineers, translating innovative ideas into practical solutions and customer-facing applications. Key ResponsibilitiesDevelop, test and benchmark advanced machine learning algorithms.Work with generative AI models including diffusion models, flow models and GANs. Design and evaluate novel hybrid machine learning architectures.Collaborate with customers and strategic partners to identify and solve complex technical challenges.Contribute to software products through the development of new algorithms, tools and examples. Support research activities through experimentation, analysis and publication of results. Contribute to the creation and protection of intellectual property arising from your work. Essential RequirementsProven experience developing and benchmarking machine learning algorithms. Hands-on experience with diffusion models, flow models and/or GANs. Strong programming skills in Python and PyTorch. Experience using version control systems such as Git. MSc or PhD in Computer Science, Machine Learning, Physics, Mathematics or a related discipline. Excellent communication skills and the ability to work effectively within multidisciplinary teams. Desirable ExperienceExperience working with advanced computing infrastructure including HPC, GPUs, NPUs, ASICs or other specialist hardware.Experience training and optimising multi-GPU models. Published research in machine learning or a related field. Experience working directly with customers or external stakeholders. An interest in or understanding of quantum computing technologies. What's On OfferThe opportunity to work on genuinely innovative technology at the forefront of AI and advanced computing.A collaborative environment alongside highly experienced researchers and engineers.Exposure to cutting-edge machine learning research and commercial applications.Competitive salary and benefits package.Hybrid working based in London.

Location: London (Hybrid - 3 days a week on site)Contract: Long-term ContractWe're recruiting for a leading global technology organisation seeking a Research Engineer to join a world-class AI research team working on large language models, AI agents and next-generation machine learning systems.ResponsibilitiesDesign, build and evaluate large-scale machine learning systems.Develop AI agents and LLM-based solutions using Python and PyTorch.Run experiments on large models and datasets.Collaborate with researchers and engineers to deliver cutting-edge AI solutions.Contribute high-quality, production-ready code in a fast-paced research environment.Required ExperienceStrong Python development skills.Hands-on experience with PyTorch or similar ML frameworks.Experience working with machine learning models at scale.Exposure to LLMs, Generative AI or AI agents.Bachelor's, Master's or PhD in Computer Science, Machine Learning, Mathematics, Physics or a related technical field.Strong problem-solving skills with the ability to execute in a research-driven environment.Nice to HavePhD or research-focused Master's.Experience in ML research, AI startups or leading technology companies.Experience with LLM post-training or agentic AI.What's on OfferOpportunity to work on cutting-edge AI research.Collaborate with some of the industry's leading researchers and engineers.Work on technology that will shape the future of AI.Long-term contract with a highly respected global technology organisation.