Machine Learning Engineer (Modeling), Risk – Square
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Block's Chargeback Risk Machine Learning team members build machine learning models and systems to precisely detect, intervene on, and reduce fraudulent activity across Block's Cash App and Square ecosystems. As part of our team, you and your work will safeguard the Cash App and Square ecosystems from financial loss and provide trustworthy and seamless financial experiences for millions of customers and sellers.
You Will
Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven solutions to fight fraud at scale
Become a risk domain expert and lead strategy and planning on your workstreams
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
Investigate and use state-of-the-art modeling algorithms and third-party data sources to boost model performance
Contribute positively to our team culture as a collaborative, empathetic, and reliable teammate
You Have
3+ years of machine learning experience
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
Hands-on experience independently designing, deploying, and troubleshooting ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning
Proficiency in modern ML stacks such as PySpark, PyTorch, MLflow, GCP Vertex AI, workflow orchestration tools (Airflow, Prefect)
Proficiency with containerization, cloud platforms (AWS, GCP), and CI / CD practices
Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML / AI solutions at scale
Experience helping teammates grow through mentorship and providing constructive feedback
A natural sense of curiosity, and experience with Block's mission of economic empowerment
Pay Zones
Zone A : $189,000—$283,600 USD
Zone B : $179,600—$269,400 USD
Zone C : $170,100—$255,100 USD
Zone D : $160,700—$241,100 USD
These ranges may be modified in the future. Pay is determined based on job-related skills, experience, qualifications, work location, and market conditions.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions.
Benefits
Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Additional Information
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Engineering and Information Technology
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Machine Learning Engineer • San Francisco, CA, US