Staff AI Scientist (Fintech)

TL;DR

Staff AI Scientist (Fintech): Developing and deploying cutting-edge credit risk AI/ML fraud models for primary banking and lending products with an accent on the complete model lifecycle, from design to monitoring. Focus on building efficient data pipelines, ensuring model fairness and compliance, and driving modeling strategy across teams within a fast-paced environment.

Location: Mountain View, California; New York, New York; Oakland, California

Company

hirify.global is a global financial technology platform powering prosperity for approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Design, build, deploy, evaluate, and monitor machine learning models to predict and detect fraud risk for primary banking and lending products.
• Collaborate with credit policy, product, and fraud risk teams to align models with business goals and drive actionable lending decisions.
• Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and ML/AI infrastructures.
• Contribute to the evolution of data and machine learning infrastructure to improve the efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches.

Requirements

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline.
• 6+ years of work experience in AI Science / Machine Learning and related areas.
• Authoritative knowledge of Python and SQL.
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data.
• Deep understanding of developing, deploying, monitoring, and maintaining a variety of machine learning techniques.
• Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis.
• Strong business problem solving, communication and collaboration skills.
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices.

Nice to have

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch.
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow.
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker.
• Experience with experimentation design and analysis, including A/B testing and statistical analysis.

Culture & Benefits

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross-functionally with executives, engineering, policy & rules, product, analytics, operations and other AI science teams.
• hirify.global provides a competitive compensation package with a strong pay for performance rewards approach, including cash bonus, equity rewards, and benefits.