Senior Machine Learning Engineer - Large Language Models
Join Noeon Research as a Senior Machine Learning Engineer to design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs). Collaborate with researchers, product engineers, 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.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Company Description
Noeon Research is an ambitious deep-tech startup working on a novel natively agentic graph-neuro-symbolic system with general capabilities. We are an international 30-people team with headquarters in Tokyo, Japan. We are looking for an aspiring professional to join our RnD team.
Responsibilities and Expectations
• Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs).Â
• Own and evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration.Â
• Develop evaluation frameworks for LLM quality, robustness, and regression tracking.Â
• Collaborate closely with researchers, product engineers, mathematicians, and infrastructure teams to translate research prototypes into reliable production systems.Â
• Contribute to architectural decisions around agentic systems, RAG pipelines, and hybrid ML + symbolic components.
Experience
• 3+ years of experience in Machine Learning or Applied AI roles.Â
• Hands-on experience deploying ML models to production environments.Â
• Practical experience with LLMs (open-source or proprietary) in real-world applications.Â
• Experience operating ML systems under production constraints (latency, cost, observability, reliability).Â
• Experience working in fast-moving startup or R&D-driven environments is a strong plus.
Technical skills
• Strong Python proficiency; experience with ML frameworks.
• Solid understanding of modern LLM stacks: fine-tuning, inference optimization, RAG, prompt/agent orchestration.Â
• Experience with MLOps / LLMOps tooling: experiment tracking, evaluation pipelines, monitoring, CI/CD for models.Â
• Familiarity with containerization and deployment (Docker, Kubernetes or equivalents).Â
• Experience with cloud or on-prem GPU environments.Â
• Understanding of distributed systems concepts is a plus.
Educational Background
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related field (or equivalent practical experience).
Essential Soft Skills
• Proactive mindset to stay updated with the latest advancements in AI.
• Fluent in conversational and written business English (C1+).
• Ability to work collaboratively in cross-functional teams.
• Experience working using Agile framework.
Personal Qualities
• Individual responsibility. You respect key deadlines and pass on the results of your work to your teammates in an appropriate condition.
• Lifelong learning. You recognise areas for growth and proactively learn new skills and knowledge for your current and prospective areas of responsibility.
• Vision & planning. You can plan your work several weeks ahead and can juggle multiple projects at once. You know when to postpone a task to keep your workload manageable.
• Thoroughness. You cover every important aspect of your task leaving out no crucial detail.
• Proactiveness and initiative. You offer help if you have spare capacity. You take initiative and pitch your own projects to others.
• Critical thinking. You question every judgement, claim or number and can engage in a healthy debate with your teammates.
• Dynamic, out-of-the-box mindset. You can challenge existing ways, abandon well-trodden paths and embrace the new in the name of the great.
How we are different
• Beyond ML. People tend to think that AI is solely Machine Learning, like ChatGPT (or DALL-E 2, or Microsoft Bing, or ChatSonic). We are building our solution on a different architecture where ML is just a part.
• High-Tech. We put much effort into profound research and development of new underlying technologies rather than reusing existing ones.
• Startup. We have a little regulations and a lot of freedom for our colleagues to propose solutions.
What we are offering
• Our target salary range is 16-22M JPY per year for a full-time position and equity compensation (options).
• Flexible Schedule. Outside scheduled team meetings, teammates are free to work on their tasks independently. When to work is a personal choice. Just do not overwork – that is inefficient.
• Autonomy. High autonomy is crucial for us – the small and agile team can achieve a breakthrough if its members are professional and independent. However, we promote helping each other. That is crucial too.
• Low Bureaucracy. What we value most are performance and results, not a strict process following. However, metrics, processes, and documentation are important too. We just keep their priorities low.
• Medical Allowance. Compensation of additional medical costs, yearly health checkup.
• Language Courses. Support for Japanese language training.Â
• Other. Visa Sponsorship, Relocation Allowance, Travel Allowance, Commute Allowance, Japanese Social Security, Maternity & Childcare leave, Life Support.
Contact us: hiring@noeon.ai
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