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Machine Learning Engineer (Modeling), Families Risk at Block
BlockBoston, MA, United States of America·1d ago
Mid LevelFull-timePythonRustAWSGCPMySQLMachine LearningTensorFlowAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join the Risk ML team at Block, Inc. This role focuses on developing machine learning systems to detect and prevent risky or abusive activity in the Cash Families product, ensuring safe and trustworthy financial experiences for teens and their parents.
Key Responsibilities
- →Build machine learning models to detect and act against risky or abusive activity across the Cash Families product
- →Collaborate cross-functionally with engineering, product, and operations teams to design systems and features to protect and maintain trust with customers
- →Work closely with ML Engineering teams to ensure models operate at scale and in real time
- →Research emerging risks and behavioral patterns in financial activity to proactively shape safeguards and policy
- →Contribute to the growth of modeling capabilities through mentoring and supporting fellow modellers
- →Exercise a high level of autonomy and responsibility, owning solutions from design through to operation
Requirements
- ✓Bachelor's degree in a quantitative field such as Mathematics, Statistics, Physics, or Machine Learning. Masters or PhD preferred
- ✓5+ years of experience in machine learning, artificial intelligence, or a related field
- ✓Strong knowledge of machine learning algorithms and data analysis techniques
- ✓Excellent problem-solving skills and attention to detail
- ✓Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
Benefits
- ★Remote work option
- ★Medical insurance
- ★Flexible time off
- ★Retirement savings plans
- ★Modern family planning
