LLM Research Engineer

Yasp is pioneering the future of software development with a compiler that leverages agentic AI for advanced optimization and code generation. We are looking for a visionary Research Engineer – AI for Code to join our team and drive the core innovation that will define the next generation of our technology. We don’t draw boundaries between research and engineering. We are creative thinkers and relentless prototypers who live at the bleeding edge of AI research and engineering. Together, we explore, invent, and ship novel technology that pushes beyond the state of the art for accelerating deep learning models. What You’ll Do Research, build, tune, and ship novel agentic AI and LLM based methods for complex problem‑solving, planning, and code synthesis. Evaluate the efficacy of AI driven compilation and optimization via benchmarking across diverse datasets, ensuring robust real‑world performance. Stay up to date with the publication landscape (e.g., NeurIPS, ICLR, ICML), open‑source projects, and industry trends to identify the way to move forward. Identify, steer and apply effective agent patterns, prompt‑engineering and post‑training strategies with an experiment‑driven scientific mindset. Develop clean production‑ready code, tooling and automations with an engineering mindset. Work with a talented team towards breakthroughs in AI for code. What We’re Looking For Master’s or PhD in Computer Science/Maths/Physics with a focus on AI/ML, or equivalent practical experience. Exceptional prior work in AI/ML, ideally involving LLMs or Agents to solve complex tasks. Solid understanding of machine learning principles and the ability to apply them to new domains. Fluent engineering skills (Python, PyTorch/TensorFlow/Jax, agentic AI frameworks, LLM tooling and APIs, Docker, GCP/AWS/Azure, software development best practices). Passion for good scientific practice, blending clean formal thinking and good communication with exacting engineering. Bonus Points Experience with fine‑tuning LLMs and Reinforcement Learning (RL), especially in the context of tool use or optimization. Familiarity with compiler design, program synthesis, or code generation principles (MLIR, TVM, LLVM). Experience with GPU accelerated kernels (e.g., CUDA, OpenCL, ROCm) for Nvidia and AMD GPUs. Contributions to major open‑source AI frameworks or research projects. Perks and Benefits Opportunities for professional development and growth. Dynamic and collaborative work environment. Cutting‑edge software and hardware platforms. You’ll contribute directly to projects that matter — where users, clients, or communities see real benefit. Ownership & Autonomy We give you the space to lead, experiment, and make decisions; we don’t micromanage. Growth Culture You won’t be static. We support your learning with coaching, resources, and exposure to new challenges. Stable & Ethical We operate with transparency, accountability, and financial responsibility. No surprises, no hollow promises. Belonging & Diversity We believe diversity of background, thought, and experience makes us stronger. We strive for an inclusive culture where everyone can thrive. Long‑Term Vision We plan and invest for the long run — in the business, in our people, and in our community. At yasp , we’re committed to creating an inclusive and diverse environment where everyone has an equal opportunity to thrive. We’re looking for people who are excited by deep tech challenges, passionate about pushing the boundaries of AI performance, eager to build products that make a real impact, and absolutely thrive when working with a team. If that sounds like you, we’d love to connect. Apply now #J-18808-Ljbffr