Who are we looking for
We aren't looking for employees; we are looking for mission-driven pioneers. To thrive at Gogolook, you must meet the following standards:
If you feel you fit the bill, come join us!
The ISL team provides applied research and development capabilities to help achieve long-term strategic goals for Gogolook. Our typical project lifecycle is 6 months, focusing on a transition from ISL team principles to long-running applied R&D. We collaborate closely with other Gogolook teams to:
Together, ISL and Engineering teams meet both the short and long-term technology needs of the company.
Role Mission
As a Machine Learning Scientist, you will be a core part of ISL's modeling competency. Your mission is to find out — with evidence — which models, features and data actually make Gogolook's anti-fraud products more precise and reliable, and why. This is a scientific role, not an engineering one: you will form hypotheses, design experiments to test them, and justify every direction and every step on a mathematical and empirical basis. "Let's build it this way because it sounds logical" is not a justification. A model that works but cannot be defended mathematically and statistically is not finished.
Fraud is a hard scientific problem. Labels are scarce and heavily imbalanced, every false positive costs user trust, and scammers adapt to whatever we deploy, so the data drifts under you. We need people who can reason about these conditions mathematically, not just tune around them.
You will own end-to-end ML investigations — from experimental design and statistical analysis to a validated model ready for production — running advanced experimental designs independently and catching pitfalls such as overfitting, data leakage and drift before they reach users. With seniority comes scientific leadership: mentoring others on statistical methods, setting ISL's standards for experimental design and statistical analysis, leading strategic decisions on ML methodology, and communicating the evidence to executives.
Your exact level is confirmed on successful completion of the 3-month probation, based on the work you deliver.
If you have published articles or papers on ML or AI, please share them with your application. We will ask you to walk us through them during the interview: the question, the method, and how you justified your conclusions.
Gogolook is a leading TrustTech company founded in 2012 and listed on the Taiwan Stock Exchange in 2025 under the stock code 6902. With "Build for Trust" as its core value, the company has expanded its business from Asia to Europe and America. Gogolook’s AI technology is built on the world's largest database of digital scam data, encompassing phone numbers, websites, virtual currency wallet addresses, and other factors.
The company provides diverse anti-scam and fintech services for both consumers and businesses. Its anti-scam offerings include the digital anti-scam app "Whoscall" and a range of enterprise scam prevention solutions in combination with "ScamAdviser."
The Fintech BU empowers consumers through data-driven financial services and inclusive lending: Roo.Cash（袋鼠金融）offers transparent matchmaking for financial products like credit cards, while JUJI（招財麻吉）provides an innovative microloan service for rapid, convenient funding during urgent financial needs.
A foundation member of the Global Anti-Scam Alliance (GASA), 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 Royal Police, the Fukuoka city and Shibuya City government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight scam, dedicated to creating a "scam-free environment."
G-PIndia (Remote-First) +1
Pay not posted
Posted Sep 30, 2026
G2Austin, TX
$155K–$185K / yr
Posted Aug 27, 2026
G2Remote (US)
$190K–$235K / yr
Posted 16 days ago
Pay not posted
GleanBangalore, India
Pay not posted
Posted Jun 29, 2022
Pay not posted
Posted Apr 28, 2026
Source: the Gogolook Lever job board. We last checked this job 6 h ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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