Empowering eCommerce with fraud protection solutions
Signifyd is a leading provider of fraud protection and cybersecurity solutions for eCommerce, headquartered in downtown San Jose, CA. The company offers an end-to-end security platform that helps brands like Samsung, Lenovo, and Walmart prevent fraud and reduce chargebacks. With $411 million raised ...
Signifyd offers equity options, a 4-day workweek, generous PTO, and a remote work policy to support work-life balance....
Signifyd fosters a culture focused on innovation and efficiency, utilizing a data-driven approach to combat fraud while empowering employees to make i...
Signifyd • Budapest, Hungary;
Signifyd is hiring a Machine Learning Engineer II to build production ML models and risk management tools. You'll work with Python, TensorFlow, and PyTorch to enhance e-commerce experiences. This position requires a Master's Degree or PhD in a relevant field.
You have a Master's Degree or PhD in a relevant field and possess strong experience in building machine learning models. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and PyTorch. Your background includes working with SQL databases, allowing you to manage and analyze data effectively. You thrive in collaborative environments, valuing teamwork and peer review to enhance your skills and contribute to the team's success. You understand the importance of risk management in e-commerce and are passionate about using technology to minimize fraud exposure.
Experience with cloud platforms like AWS or GCP is a plus, as is familiarity with data processing tools and techniques. You may also have experience in deploying machine learning models in production environments, which will help you contribute to the end-to-end ownership of decision-making engines.
In this role, you will be responsible for developing and deploying machine learning models that are integral to Signifyd's product offerings. You will collaborate with cross-functional teams to enhance the e-commerce shopping experience by reducing false positive declines and improving fraud detection. Your work will involve conducting research and development to innovate new solutions that empower online retailers. You will also participate in peer reviews of experiments and code, fostering a culture of continuous learning and improvement within the team. You will have the opportunity to contribute to the design and implementation of risk management tools that help businesses grow their sales while protecting their revenue.
Signifyd provides a supportive work environment where you can thrive and grow your career. We offer stock options and an annual performance bonus, along with a pension matched up to 3%. You will have access to a comprehensive health insurance scheme from day one, as well as enhanced maternity and paternity leave. We value team bonding and provide paid social events, along with mental wellbeing resources. Additionally, you will have a dedicated learning budget to further your professional development through platforms like Learnerbly.
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