AI/ML Data Scientist - DeepSeek/OpenAI/Claude/Anthropic

Employment Type: Full-Time Location: Remote in Singapore

Minimum Experience: Entry Level or Mid Level

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites

.Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including

:Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Say
sAdweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CT
VWashington Post: Your kids’ apps are spying on the
mPro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empir
eABC7 News: The State of Children's Privacy Onlin
eNBC News: How many apps are tracking your childre

nOur team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore

.ABOUT THE ROL

EIn this role, you will collaborate closely with data scientists, big data engineers, product managers, and marketers, as well as legal, engineering, marketing, sales, and customer success teams. You will analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics, while ensuring compliance with global privacy and data protection laws

.
As the ad tech industry undergoes a major shift towards greater transparency and protection against fraud, Pixalate is uniquely positioned as the first MRC-accredited, omni-channel fraud protection provider focused on reducing fraud, not just measuring i

t.
RESPONSIBILIT

IESLeverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention mod
elsLeverage LLMs, VLMs, BERT, and CLIP models to create new and innovative products, explore new techniques and improve overall product su
iteResearch and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulati
onsProvide technical support for existing products by resolving complex client issues through coordinated tickets and data analy
sisIdentify new types of fraud and develop early detection/prevention algorithms using AI/ML techniq
uesCreate visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams, while maintaining privacy complia
nceDevelop and test statistical hypotheses to support data-driven decision-mak
ingFine-tune existing ML and LLM models to improve accuracy, speed and efficie

ncyQUALIFICATI

ONSBS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fie
ldsExperience in data science, solving complex problems with a focus on AI/ML techniques and privacy expert
iseExperience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection l
awsAbility to work independently and solve complex problems with minimal supervis
ionStrong critical thinking and ability to generate intuitive conclusions from complex datas
etsExcellent verbal and written communication skills, with a high attention to det
ailProficiency in SQL and Pyt
honSolid understanding of machine learning algorithms, basic probability, and statist
icsFamiliarity with AI/ML tools and frameworks (e.g., OpenAI, DeepSeek, ChatGPT, TensorFlow, PyTorch, Ker

as)PREFERRED QUALIFICATI

ONSFamiliarity with online advertising, advertising fraud, and global privacy and data protection laws, with a focus on European privacy and data protection laws and regulati
onsMS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expert
iseFamiliarity with Amazon AWS, UNIX CLI, and programming in Scala, Java, and/or C/
C++Proven track record of integrating privacy-by-design principles into data science projects and prod

uctBENEF

ITSWe focus on doing things differently and challenge each other to be the best we can

be.Monthly internet reimbursem
entCasual, remote work environm
entHybrid, flexible ho
ursOpportunity for advancem
entFun annual team eve
ntsBeing part of a high performing team that wants to win and have fun doing