Noeon Research27.01.26
AI SCORE 8.5

Senior Machine Learning Engineer - Large Language Models

$150K–$210K/year

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.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

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.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

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.

Industry
Tech
Location
Remote

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.

Learning Resources

Deep Learning Specializationcourse

Career Path

Senior Machine Learning Engineer - Large Language Models(Now)Lead Machine Learning Engineer(1-2 years)Machine Learning Architect(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
17.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$150K

Skills & Requirements

Required
PythonMachine LearningLLM
Growing in Demand
TensorFlowPyTorchData Engineering
Declining
RMapReduce

Domain Trends

Rise of Large Language Models
The demand for Large Language Models (LLMs) is expected to grow by 25% annually as organizations leverage NLP capabilities for customer service and content generation.
MLOps Adoption
MLOps practices are being adopted by 60% of companies to streamline the deployment and management of ML models, reducing time to market by 40%.
Cloud-Native Machine Learning
By 2025, 80% of machine learning workloads are projected to run on cloud platforms, driving a shift towards cloud-native development and deployment strategies.

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