Senior Staff AI/Machine Learning Engineer

November 18

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Flex

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Fintech • Real Estate • B2C

Flex is a financial technology company that enables renters to split and schedule rent payments, pay move-in costs over time, and build credit through on-time rent reporting. It offers consumer-facing payment products (rent split, pay-over-time, and move-in loans) and partners with property owners and property-management systems to help properties collect on-time rent and retain residents. Flex operates via bank partnerships and regulated lending/servicing subsidiaries to provide loans and payment processing while emphasizing security and regulatory compliance.

201 - 500 employees

Founded 2019

💳 Fintech

🏠 Real Estate

👥 B2C

📋 Description

• Lead the design, development, and deployment of scalable machine learning models for high-impact fintech applications, driving the full ML lifecycle—from research and data exploration to training, evaluation, deployment, and monitoring. • Collaborate with data scientists, engineers, and product teams to translate complex business challenges into machine learning solutions that directly support product and business objectives. • Build, maintain, and optimize robust ML systems that meet stringent performance, scalability, and reliability standards in a production environment. • Continuously monitor and enhance model performance through experimentation, hyperparameter tuning, and iteration to ensure alignment with evolving business needs. • Utilize distributed computing frameworks and cloud-native platforms to develop and maintain data pipelines, feature stores, model serving infrastructure, and MLOps workflows. • Evaluate, adopt, and implement state-of-the-art AI/ML tools, frameworks, and methodologies to ensure technical excellence and a competitive advantage. • Champion responsible AI practices by ensuring models comply with regulatory and ethical standards, with a focus on explainability, fairness, bias mitigation, and auditability. • Stay current with emerging trends and innovations in AI, machine learning, software engineering, and scalable deployment to keep our systems on the cutting-edge.

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Engineering, Statistics, or a related technical field. • 6+ years of experience in machine learning, including 3+ years in senior or staff-level roles. • Expert proficiency in Python (or similar languages) and experience with key ML libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. • Extensive experience with cloud platforms (AWS, GCP, Azure), ML infrastructure tools (e.g., SageMaker, Vertex AI, MLflow), distributed computing (e.g., Spark, Kubernetes), and data workflow tools (e.g., Pandas, Airflow). • Proven track record of designing, building, and deploying end-to-end ML systems at scale in a production environment. • Strong background in performance optimization, version control, CI/CD, and managing the ML model lifecycle in real-world applications. • Excellent analytical and problem-solving skills, with a proven ability to collaborate across cross-functional teams to deliver production-ready solutions that meet business goals.

🏖️ Benefits

• Competitive medical, dental, and vision available from Day 1 • Company equity • 401(k) plan with company match (our company match kicks off at the beginning of 2026) • Unlimited paid time off + 13 company paid holidays • Parental leave • Flex Cares Program • Free Flex subscription • Competitive compensation + company equity • Unlimited PTO