Location
D01 Cecil, Marina, People’s Park, Raffles Place
Job Type
Full-time
Experience
Mid
Category
General
Salary
$5,000 - $6,500
Posted
3 weeks ago
Expires
Apr 4, 2026
Views
6

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

ML Research Engineer (AI / LLM / VLM)
We are looking for motivated ML Research Engineer to join our AI Product team. In this role, you will work on cutting-edge AI technologies, including large language models (LLMs) and vision-language models (VLMs), to develop innovative solutions for enterprise video intelligence. You will collaborate closely with researchers, engineers, and product teams to transform research ideas into scalable real-world applications.

Responsibilities

  • Build and implement solutions using LLMs and VLMs to solve real-world AI problems.
  • Design and develop agentic AI systems using structured, multi-step workflows.
  • Run experiments involving data preparation, model training, and performance evaluation.
  • Develop prototypes and proof-of-concept systems to validate new ideas.
  • Partner with cross-functional teams to translate research into production-ready solutions.
  • Deliver impactful AI solutions aligned with business objectives.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.
  • Strong understanding of machine learning and deep learning fundamentals, including model architectures and training techniques.
  • Hands-on experience with transformer-based models in NLP or computer vision.
  • Solid programming skills with strong knowledge of algorithms and data structures.
  • Strong analytical thinking, problem-solving ability, and communication skills.

Preferred Qualifications

  • Master’s or PhD in a related field.
  • Publications in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, or ACL.
  • Experience with fine-tuning or adapting foundation models using transfer learning techniques.
  • Exposure to additional ML domains such as reinforcement learning, diffusion models, robotics, speech recognition, recommender systems, or time-series forecasting.

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