Research Scientist (Control)

AI Security & Control Engineer

Apollo Research

THE OPPORTUNITY We are building Watcher, a coding agent security product. We are looking for a security & control expert  to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher.  A security & control expert embedded in the product team with three functions:  Research: Supporting Apollo's monitoring research with threat modeling, attack design, red-teaming, and trajectory analysis (~50%), Expert view: Bring a security expert’s view of what security buyers need to make Watcher a better product (~25%),  Product security: Improve the security posture of Watcher and Apollo's product infrastructure (~25%).  This is truly a “start-up role” in the sense that you have many responsibilities and have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired.

Research Scientist

Nomagic

Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments? Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI? Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution? If your answers are yes, we should talk. At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the "internet data" of robotics - massive deployment logs from real systems operating in production environments -  to bootstrap our efforts. We are looking for Research Scientists who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.

Research Scientist - Model Team

Mirelo

Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models. This role is deeply hands-on and research-heavy: with a great H100/200-per-engineer ratio you explore and build new multimodal models and push the boundaries of what’s possible in music, sound, and speech generation. You’ll collaborate closely across research and engineering, run focused ablations, and translate experimental results into clear next steps for the team. From data curation to deployment, you’ll help shape the full lifecycle of the models that power our products and partnerships. KEY RESPONSIBILITIES * Design, implement and train large-scale multimodal generative models for audio generation (diffusion and/or autoregressive models). * Explore new modeling ideas for audio generation (music, sound, speech) while taking inspiration from the language and image domains. * Develop and experiment with post-training for new capabilities (fine-grained control, in/out-painting, editing, …) * Conduct rigorous ablation studies, get actionable insights and communicate results to the team to discuss new research directions. * Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment. IDEAL CANDIDATE PROFILE * Hands-on experience in training large-scale generative models in a fast-paced research environment. * Deep understanding of cutting-edge methods and ML research in at least one of the domains: image, language, video or audio (specific audio experience not necessary, but nice to have). * Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning. * Solid understanding of distributed training techniques—FSDP, low precision training, model parallelism * Strong track-record in working on generative models (publications in top-tier venues, open-source contributions or applied ML projects). NICE TO HAVE * Proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers. * Strong software engineering skills/experience in collaborating on large codebases that go beyond PhD research code. * Experience with generative models for audio (sound, music or speech) and audio codec design. WHY JOIN? * Join at a pivotal moment. We've secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success. * True ownership from day one. You'll have genuine autonomy and responsibility. Your ideas and work will directly shape our product and company direction. * Competitive compensation and equity. We offer strong packages that ensure you share in the success you help create. * Build for the next generation of creators. Be part of the innovation that will transform how creators work and thrive. We welcome applications from all individuals, regardless of ethnic origin, gender, disability, religion or belief, age, or sexual orientation and identity.