[ Promising AI Startup from USA ] AI Researcher

This organisation stands out by offering you the chance to become an early core member whose contributions directly influence both product evolution and company culture. You’ll work alongside exceptional engineers and advisors who have built solutions for top technology firms as well as government-grade systems—providing unparalleled mentorship opportunities. Flexible working arrangements allow you to balance professional ambitions with personal well-being.

Salary: Competitive and based on experience

Location: Taipei

Keywords: collaborative, supportive leadership, flexible working opportunities, knowledgeable team, inclusive environment, growth leadership

What you'll do:

As a Machine Learning Research Engineer based in Taipei, you will be immersed in a dynamic environment where your day-to-day activities revolve around designing sophisticated data pipelines, experimenting with state-of-the-art machine learning techniques, and deploying reliable AI solutions for real-world customer needs. You will collaborate with talented colleagues to fine-tune large language models for critical applications such as incident management while continuously seeking ways to improve model efficiency through rigorous benchmarking. Your role will also involve translating research findings into practical features that enhance customer experiences. Success in this position requires not only technical proficiency but also a passion for teamwork, knowledge sharing, and contributing positively to an inclusive workplace culture.

• Build end-to-end artificial intelligence workflows by balancing research initiatives with engineering best practices to deliver robust production-grade AI systems.
• Design, optimise, and maintain scalable data pipelines for both structured and unstructured datasets that are essential for model training and evaluation.
• Run comprehensive benchmarking and evaluation frameworks aimed at improving model performance, latency, and cost efficiency across multiple use cases.
• Fine-tune and train large language models to ensure reliability in production environments, particularly for incident management applications.
• Research and experiment with advanced methodologies such as Reinforcement Learning, Retrieval-Augmented Generation, and autonomous reasoning to push the boundaries of current AI capabilities.
• Translate research breakthroughs into scalable features that directly impact customers as a key contributor within the engineering team.
• Collaborate closely with cross-functional teams to integrate new AI features into existing products while maintaining high standards of quality and reliability.
• Monitor system performance post-deployment to identify areas for improvement and implement enhancements based on user feedback.
• Document processes thoroughly to support knowledge sharing within the team and facilitate onboarding of new members.
• Participate actively in regular team meetings to discuss progress, share insights from experiments, and contribute ideas for future product directions.

What you bring:

Your proven track record as a Machine Learning Research Engineer will be evident through your hands-on experience with large language models—whether it’s fine-tuning GPT-4 or optimising Llama for specific use cases. You bring strong programming abilities in Python or Go alongside familiarity with distributed systems that underpin modern cloud infrastructure. Your expertise extends into data engineering where you’ve designed robust pipelines capable of handling vast amounts of structured and unstructured information. A solid grasp of machine learning theory enables you to experiment confidently with advanced methods like Transformers or self-supervised learning. Beyond technical skills, your ability to connect empathetically with teammates ensures effective collaboration while your commitment to continuous improvement keeps you at the forefront of industry developments. You thrive in environments that value knowledge sharing and communal achievement—making you an ideal fit for this supportive organisation.

• Demonstrated deep experience working hands-on with large language models such as GPT-4, Llama, Gemini or similar foundation models including fine-tuning, prompt engineering, and model optimisation.
• Proven software engineering skills in Python, Go or C++, ideally with exposure to distributed systems or cloud infrastructure environments.
• Expertise in data engineering encompassing large-scale pipeline design, embeddings creation, vector database management or search system implementation.
• Solid understanding of machine learning fundamentals including Transformers architecture, deep learning principles and self-supervised learning techniques.
• Ability to collaborate effectively within multidisciplinary teams while communicating complex technical concepts clearly to non-specialist stakeholders.
• Commitment to continuous learning demonstrated by staying up-to-date with emerging trends in reinforcement learning frameworks (RLHF/RLCEF) or multi-agent AI architectures.
• Experience building or researching Retrieval-Augmented Generation (RAG) systems is highly desirable for this role.
• Strong interpersonal skills enabling you to foster positive relationships within an inclusive team setting focused on shared success.
• A responsible approach towards project delivery ensuring reliability and scalability of deployed AI solutions for enterprise clients.
• Enthusiasm for nurturing others through knowledge sharing sessions or mentoring junior engineers as part of communal growth.

What sets this company apart:

Ownership is more than just a word here: your impact is recognised through competitive equity aligned with tangible results delivered for real customers—including Fortune 500 enterprises already engaged in long-term partnerships. Training opportunities abound so you can continue growing your skillset while being supported by knowledgeable leaders dedicated to fostering communal success. If you’re looking for a place where your expertise matters—and where you can make a genuine difference—this is the environment for you.

What's next:

If you are passionate about advancing artificial intelligence through collaborative teamwork and want your work to make a real-world impact, this is your moment—apply now!

Apply today by clicking on the link below; take the next step towards joining a supportive team committed to shaping the future of AI together.