Remote Senior Software Engineer, Machine Learning

Description:

• The team is responsible for defining the vision, conducting research, and developing advanced machine-learning models to tackle fraud at scale.
• The focus is on delivering clear and accurate risk assessments throughout the entire user journey, including login attempts, account creation, and payment transactions.
• The goal is to eliminate fraud losses and minimize friction for legitimate users, empowering businesses to create seamless, trustworthy experiences.
• The company believes that machine learning is key to preventing Account Creation Fraud, Account Takeover (ATO), and Payment Fraud.
• Solutions are designed to intelligently detect and mitigate risks, ensuring a secure and resilient online ecosystem.
• The position offers the opportunity to innovate, develop industry-leading solutions, and make a tangible impact in securing the digital world.

Requirements:

• A practical understanding of machine learning and data science concepts, with a track record of solving problems using these methods is required.
• Candidates must have 4+ years of experience working with production ML systems.
• A minimum of 3 years of experience working with large datasets using Spark, MapReduce, or similar technologies is necessary.
• At least 5 years of experience building backend systems using Java, Scala, Python, or another programming language is required.
• Experience in training machine learning models end-to-end is essential.
• Strong communication and collaboration skills are needed, along with a belief that team output is more important than individual output.
• A degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field is required.

Benefits:

• The position offers the chance to work at the forefront of AI/ML-driven fraud prevention with cutting-edge technologies.
• Employees will have the opportunity to solve real-world problems and innovate in the field of cybersecurity.
• The role allows for the development of industry-leading solutions that make a tangible impact in securing the digital world.
• The company is committed to long-term customer success, empowering employees to contribute to meaningful projects.
• Sift provides a collaborative work environment that values team output and encourages professional growth.