Senior Machine Learning Engineer - Large Language Models
About the Role
We are seeking a Senior Machine Learning Engineer - Large Language Models to join our innovative team at Noeon Research. This position offers the opportunity to work on cutting-edge projects in the field of AI, specifically focusing on Large Language Models (LLMs). As a Senior Machine Learning Engineer, you will play a crucial role in designing and maintaining production-grade ML systems.
What You'll Do
- Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs).
- Own and evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration.
- Develop evaluation frameworks for LLM quality, robustness, and regression tracking.
- Collaborate closely with researchers, product engineers, mathematicians, and infrastructure teams to translate research prototypes into reliable production systems.
- Contribute to architectural decisions around agentic systems, RAG pipelines, and hybrid ML + symbolic components.
Requirements
- 3+ years of experience in Machine Learning or Applied AI roles.
- Hands-on experience deploying ML models to production environments.
- Practical experience with LLMs (open-source or proprietary) in real-world applications.
- Experience operating ML systems under production constraints (latency, cost, observability, reliability).
- Experience working in fast-moving startup or R&D-driven environments is a strong plus.
Nice to Have
- Strong Python proficiency; experience with ML frameworks.
- Solid understanding of modern LLM stacks: fine-tuning, inference optimization, RAG, prompt/agent orchestration.
- Experience with MLOps / LLMOps tooling: experiment tracking, evaluation pipelines, monitoring, CI/CD for models.
- Familiarity with containerization and deployment (Docker, Kubernetes or equivalents).
- Experience with cloud or on-prem GPU environments.
- Understanding of distributed systems concepts is a plus.
What We Offer
- Target salary range of 16-22M JPY per year plus equity compensation.
- Flexible schedule allowing you to work independently outside scheduled team meetings.
- High autonomy in your work, promoting a collaborative environment.
- Low bureaucracy, focusing on performance and results rather than strict processes.
- Medical allowance covering additional medical costs and yearly health checkups.
- Support for Japanese language training.
- Visa sponsorship and relocation allowance.
- Travel and commuting allowances, along with Japanese social security benefits.
- Maternity and childcare leave, and life support services.
This Senior Machine Learning Engineer role at Noeon Research offers a unique opportunity to work on advanced AI technologies with a competitive salary and flexible work environment.
About Noeon Research
Discover exciting career opportunities at Noeon Research in 2026. Explore a range of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters to refine your job search, track your applications seamlessly, and gain valuable company insights to enhance your experience. Start your journey toward a fulfilling career at Noeon Research today and find the perfect position that suits you.
Who Will Succeed Here
Expertise in Python with hands-on experience in developing and deploying Large Language Models (LLMs) using frameworks like TensorFlow or PyTorch, ensuring a deep understanding of both the theoretical and practical aspects of machine learning.
Proven experience with MLOps practices, including CI/CD pipelines, containerization using Docker, and orchestration with Kubernetes, enabling efficient and scalable deployment of machine learning models in cloud environments.
A proactive mindset focused on continuous improvement and innovation, with a strong inclination towards experimenting with cutting-edge research in AI and a willingness to adapt to rapidly evolving technologies in a remote work setting.
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