US Startup - AI Engineer (VLM/Fully Remote)

Salary: Competitive and based on experience

Location: taipei

Keywords: collaborative, supportive leadership, inclusive, flexible working opportunities, knowledgeable team, training opportunities, dependable, growth leadership, interpersonal skills, enthusiastic

A leading AI Lab in Taipei is seeking an AI Engineer to join their passionate and knowledgeable team, where your expertise will help bridge learning science with practical artificial intelligence. This role offers you the opportunity to work on cutting-edge Vision-Language Models (VLMs), interpreting complex procedural videos and technical demonstrations, while collaborating closely with research, engineering, and product teams. You will be empowered to build, train, and deploy production-level AI services across a diverse range of applications including natural language processing, computer vision, recommendation systems, and large language models. The organisation is committed to fostering a supportive environment that values constructive feedback, continuous improvement, and flexible working opportunities. If you are enthusiastic about advancing AI technology in real-world settings and thrive in communal, agile development processes, this is the perfect place for you to grow your career.

• Work alongside a highly knowledgeable and supportive team dedicated to bridging learning science with practical AI applications, ensuring your growth and development are prioritised.
• Enjoy flexible working opportunities within an inclusive environment that encourages collaboration across research, engineering, and product teams for impactful AI solutions.
• Benefit from ongoing training opportunities and access to state-of-the-art resources as you contribute to production-level AI services in a dynamic lab setting.

What you'll do:

As an AI Engineer in this innovative lab based in Taipei, you will immerse yourself in the full lifecycle of advanced artificial intelligence projects. Your day-to-day activities will involve building sophisticated models across multiple domains such as natural language processing and computer vision. You will play a pivotal role in fine-tuning Vision-Language Models (VLMs) so they can interpret intricate procedural videos—an essential task for translating learning science into practical applications. Working collaboratively with cross-functional teams ensures that every solution is both technically sound and aligned with real-world needs. You will also be responsible for maintaining the evolving capabilities of deployed AI services by integrating enhancements based on user feedback or emerging technologies. Data collection and preparation will be central to your workflow as you strive for accuracy in model training. Regular participation in design discussions, code reviews, troubleshooting sessions, and documentation writing will keep you connected with the wider team’s communal efforts. Embracing agile methodologies means you’ll continuously improve through constructive feedback while supporting others’ growth within this nurturing environment.

• Build, train, and deploy a wide variety of AI models and algorithms for services spanning natural language processing, computer vision, recommendation systems, and large language models.
• Fine-tune and align Vision-Language Models (VLMs) to accurately interpret complex procedural videos and technical demonstrations for domain-specific tasks.
• Collaborate closely with research, engineering, and product teams to develop robust production-level AI services that meet organisational goals.
• Maintain and extend the capabilities of existing AI services by integrating new features and optimising performance.
• Collect, organise, and prepare data sets required for model training and validation purposes to ensure high-quality outcomes.
• Participate actively in system design discussions, evaluations, code reviews, and documentation writing to support communal knowledge sharing.
• Troubleshoot various system issues efficiently while optimising operational performance through collaborative problem-solving.
• Engage enthusiastically in agile development processes by embracing constructive feedback and contributing to continuous improvement initiatives.

What you bring:

Your proven track record as an AI Engineer will showcase your ability to deliver impactful results across multiple domains including natural language processing, computer vision, recommendation systems, and large language models. You bring advanced academic credentials—ideally a master’s or PhD—in computer science or related fields; however candidates with substantial industry experience are equally valued. Your hands-on expertise fine-tuning LLMs or VLMs ensures you can optimise performance for domain-specific tasks while leveraging deep learning frameworks like PyTorch or TensorFlow. Solid programming skills in Python allow you to implement scalable solutions efficiently within collaborative projects. Familiarity with Linux environments supports seamless integration into communal workflows. Your critical thinking abilities combined with excellent problem-solving skills make you a dependable contributor during troubleshooting sessions. Outstanding interpersonal communication enables you to connect effectively with colleagues from diverse backgrounds—especially important given the bilingual nature of the team. Experience working within agile environments using tools such as Jira or Git further demonstrates your commitment to continuous improvement. Understanding CI/CD pipelines along with testing automation practices positions you well for modern software development challenges. Hands-on experience developing containerised applications using Docker or Kubernetes—and familiarity with cloud platforms like AWS or Azure—will further enhance your impact on production-level deployments.

• A master’s or doctoral degree in computer science or a related technical field; candidates with a bachelor’s degree plus relevant industry experience are also considered.
• Proven hands-on experience fine-tuning and aligning large language models (LLMs) or Vision-Language Models (VLMs) for domain-specific optimisation tasks.
• Expertise in deep learning architectures, machine learning techniques, and artificial intelligence model development across multiple application areas.
• Practical proficiency with at least one mainstream deep learning framework such as PyTorch or TensorFlow demonstrated through successful project delivery.
• Solid programming skills in Python enabling efficient implementation of complex algorithms and scalable solutions.
• Familiarity with Linux operating environments supporting seamless integration into collaborative workflows.
• Excellent critical thinking abilities paired with strong problem-solving skills that foster dependable teamwork.
• Outstanding interpersonal communication skills facilitating effective collaboration within diverse groups.
• Working proficiency in both Chinese and English allowing smooth interaction across multicultural teams.
• Experience working within agile software engineering environments using tools like Jira or Git is highly desirable.
• Understanding of CI/CD pipelines, testing automation practices, and modern software development methodologies adds value.
• Hands-on experience developing containerised applications using Docker or Kubernetes enhances your candidacy.
• Background working with cloud-based development platforms such as AWS, Azure or Google Cloud Platform is advantageous.
• Demonstrated ability to produce product-level code ready for deployment is considered a plus.

What sets this company apart:

This leading AI Lab stands out by its unwavering commitment to bridging learning science with practical artificial intelligence solutions that have real-world impact. The organisation fosters an inclusive culture where collaboration is not just encouraged but celebrated—ensuring every team member feels supported throughout their professional journey. Flexible working opportunities allow you to balance personal commitments while pursuing ambitious projects alongside knowledgeable colleagues who share your enthusiasm for innovation. Training opportunities abound so you can continually expand your skill set while contributing meaningfully to communal goals. Supportive leadership ensures constructive feedback is always delivered respectfully—helping everyone grow together rather than individually. The lab’s dedication to deploying production-level AI services means your work directly influences how technology shapes education and technical demonstrations worldwide. By joining this team in Taipei, you become part of a network that values dependability, empathy, inter-personal connection, and shared success above all else.

What's next:

If you are enthusiastic about shaping the future of artificial intelligence through collaborative teamwork in an inclusive environment—this is your chance!

Apply today by clicking on the link provided!