Software Engineer, Machine Learning (Tel Aviv)
Tel Aviv, Israel
The team's focus is the Ads Fraud Risk domain, and its goal is to mitigate fraud and reduce friction for advertisers. We work on boosting our fraud detection with additional policies, algorithms and ML solutions and improving detection of scaled fraud attacks.
We are building our next generation Fraud detection system as part of FI's Risk-as-a-Service effort.
Our Tech:
We are using a variety of ML and stats models and algorithms, from classic supervised learning, to anomaly detection, unsupervised learning and semi supervised learning, to detect and mitigate ongoing fraud campaigns.
In our solutions we are using Graph Neural Networks, Ensembles, Boosting, Regression models, Time Series data, Causal Inference and more.Software Engineer, Machine Learning (Tel Aviv) Responsibilities
- Leading projects or small teams of people to help them unblock, advocating for ML excellence.
- Develop highly scalable classifiers and tools leveraging machine learning, data, and rules based models
- Suggest, collect and synthesize requirements and create effective feature roadmaps
- Code deliverables in tandem with the engineering team
- Experience with developing machine learning models at scale from inception to business impact
- Experience of ML for Fraud detection and/or solving other integrity problems
- Experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
- Knowledge developing and debugging
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Masters degree or PhD in Computer Science or a related technical field
- Exposure to architectural patterns of large scale software applications
- Python and PHP/Hack experience
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Causal inference Computer Science Data Mining Engineering FinTech Fraud risk Machine Learning ML models PhD PHP Physics Python Unsupervised Learning VR
Perks/benefits: Career development Flex vacation
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