AI Applied Scientist

Sep 07, 2023


About us

Gogolook is a leading TrustTech company established in 2012. With Build for Trust as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.

Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce and the Fukuoka city government to fight fraud and ultimately, to build a trustworthy communication network across the world.

Why you should join Gogolook

1. Influential products: What we make are meaningful products that create values for society and defend against frauds.

2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.

3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.

4. Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal.

Gogolook is the world leader in digital risk protection systems that ensure individuals and companies can transact and interact with each other with transparency and effectiveness, lowering their exposure to malevolent online fraud schemes and scams through the use of advanced statistical models of behaviour, cloud-native and ISO27001 secured platforms.  We scan and filter billions of both telephony and web endpoints per month for your digital safety.  Due to increased demand for our services, our team is growing rapidly and we are pleased to present this opportunity to you!

One such role is a highly skilled and innovative Data Scientist. You will play a critical role to implement cutting-edge AI solutions to meet various business demands and challenges. Your expertise should span areas ranging mainly from Natural Language Processing(NLP) and sequence data processing to other related generative AI techniques. This role offers a unique opportunity to contribute to all our products and establish yourself as a leader in our continually evolving field.  If you are up to the challenge, read on.

Role and Responsibilities

  • Design and develop state-of-the-art AI models and algorithms to solve real-world challenges.
  • Be involved in the selection, cleaning and preparation of datasets for fine tuning(or from scratch), architecting of model structure, training and testing, optimization and deployment of models with quantified accuracies.
  • Conduct experiments and perform rigorous evaluation of AI models to ensure their effectiveness and reliability in real-world applications.
  • Stay up-to-date with the latest advancements in AI research and industry trends, and proactively contribute to knowledge sharing within the team.
  • Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
  • Communicate complex technical concepts and findings to non-technical Gogolookers in a clear and concise manner.


  • Proven professional in Computer Science, Mathematics, Engineering, Statistics, or a related field.
  • Solid experience in NLP or deep learning related experience, and related Models/Algorithms such as RNN, LSTM, GRU and transformer architectures.
  • Strong experience in tuning hyperparameters and deep understanding of how ML/DL models are trained and evaluated.
  • Strong skills in Python, PyTorch(or TensorFlow), Numpy, Pandas, Scikit-Learn and Matplotlib or associated Python libraries typically used in model building and visualization. 
  • Strong analytical and problem-solving skills with the ability to work on complex, open-ended problems.
  • Excellent communication and collaboration skills in English with the ability to work effectively in an international team environment.

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