[ Metaverse Company ] Algorithm Engineer (LLM)

A leading technology innovator in Taipei is seeking an Algorithm Engineer to join their pioneering Research team. This is a unique opportunity for you to immerse yourself in the world of advanced machine learning, deep learning, and generative artificial intelligence, working on projects that directly shape next-generation intelligent features.

Salary: Competitive and based on experience

Location: Taipei

Keywords: machine learning, deep learning, large language models, generative AI, NLP, multimodal learning, PyTorch, TensorFlow, collaborative environment, real-world impact

You will be empowered to explore, design, and implement scalable algorithms at the forefront of large language models (LLMs) and multimodal learning, all while collaborating with a knowledgeable and supportive network of engineers and researchers. The organisation offers flexible working opportunities, a culture that values knowledge sharing, and a commitment to your professional growth through ongoing training opportunities. If you are passionate about transforming research into real-world solutions and thrive in an inclusive, co-operative environment where your expertise will make a tangible difference, this role is designed for you.

• Work at the intersection of cutting-edge research and practical product development, focusing on LLMs, NLP, and generative AI to create impactful features.
• Join a collaborative team that values knowledge sharing, continuous learning, and supportive leadership within a flexible working environment.
• Benefit from access to the latest tools and resources in machine learning while contributing to projects that have real-world applications and visible outcomes.

What you'll do:

As an Algorithm Engineer – Research Focus based in Taipei, you will play a pivotal role in shaping the future of intelligent products by developing state-of-the-art algorithms rooted in machine learning and artificial intelligence. Your day-to-day activities will involve exploring novel approaches in NLP, LLMs, and multimodal learning; prototyping solutions that push the boundaries of what is possible; fine-tuning open-source models for tailored applications; and collaborating with talented engineers to ensure seamless integration into live systems. You will be responsible for designing deep learning architectures that balance accuracy with efficiency while conducting rigorous experiments to validate your work. Staying abreast of the latest developments in the field will be essential as you bring fresh ideas into the team’s workflow. Your contributions will not only advance technical capabilities but also foster a culture of shared growth through regular collaboration and knowledge exchange.

• Research and prototype advanced algorithms in natural language processing (NLP), large language models (LLMs), and multimodal learning to address complex challenges.
• Fine-tune and rigorously evaluate open-source LLMs for specific product use cases, ensuring optimal performance and relevance.
• Design deep learning architectures with a focus on both model accuracy and computational efficiency to meet evolving business needs.
• Collaborate closely with engineering teams to transition research prototypes into robust, production-ready systems that operate in real time.
• Conduct comprehensive experiments including A/B testing, maintaining reproducible pipelines for reliable results across multiple iterations.
• Stay informed about emerging machine learning papers, tools, and techniques by regularly reviewing academic literature and integrating new advancements into ongoing projects.
• Optimise data pre-processing workflows to support efficient model training and deployment within diverse environments.
• Contribute to the maintenance of high-quality documentation for research findings, codebases, and experimental results to facilitate team-wide understanding.
• Engage in regular knowledge-sharing sessions with colleagues to foster a communal approach to problem-solving and innovation.

What you bring:

To excel as an Algorithm Engineer – Research Focus, you will bring proven experience in developing sophisticated machine learning solutions grounded in both theoretical knowledge and practical application. Your background should include formal education in computer science or related fields complemented by hands-on work with LLMs—ranging from fine-tuning models to implementing prompt engineering techniques. Familiarity with frameworks such as PyTorch or TensorFlow is essential for building robust deep learning architectures. You should be comfortable navigating academic literature from platforms like arXiv, translating complex ideas into actionable insights that drive product innovation. Experience managing data pipelines and conducting rigorous experiments will enable you to contribute effectively within a collaborative team environment. Strong interpersonal skills are vital as you engage with colleagues across disciplines, fostering an atmosphere of mutual support and shared achievement. Your enthusiasm for continuous professional development ensures you remain at the forefront of technological advancements while nurturing a culture of collective growth.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics or related discipline; PhD considered an advantage for deeper research engagement.
• Comprehensive understanding of machine learning principles including supervised, unsupervised, and reinforcement learning methodologies relevant to modern AI systems.
• Demonstrated hands-on experience with large language models such as fine-tuning existing architectures, prompt engineering strategies, and thorough evaluation processes.
• Proficiency with industry-standard frameworks like PyTorch or TensorFlow for building scalable deep learning solutions applicable across various domains.
• Experience managing data pre-processing pipelines as well as executing model training tasks efficiently within collaborative project settings.
• Ability to read academic papers from sources such as arXiv and translate theoretical concepts into practical implementations suitable for production environments.
• Familiarity with best practices in experiment design including A/B testing protocols and maintaining reproducible research pipelines for consistent results.
• Excellent interpersonal skills enabling effective communication within cross-functional teams dedicated to shared objectives.
• A passion for continuous learning demonstrated by staying current with emerging trends in machine learning research.

What sets this company apart:

This organisation stands out as a trailblazer in the technology sector by championing an inclusive workplace where every voice is valued. Employees benefit from flexible working opportunities designed to accommodate diverse lifestyles while promoting work-life harmony. The company invests heavily in training opportunities so that each team member can expand their skill set alongside some of the most knowledgeable professionals in the industry. With a strong emphasis on supportive leadership and communal success, you’ll find yourself part of a network that prioritises personal development just as much as technical excellence. The culture here encourages open communication, regular knowledge sharing sessions, and genuine collaboration—ensuring everyone has the chance to contribute meaningfully while growing together. By joining this forward-thinking team in Taipei, you become part of an environment committed not only to technological advancement but also to nurturing talent through kindness, empathy, and respect.

What's next:

If you are ready to take your expertise in algorithm engineering to new heights within a collaborative research setting focused on real-world impact, this is your moment to shine.

Apply today by clicking on the link provided—your journey towards shaping tomorrow’s intelligent technologies starts here.