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Flex group

Sr. Staff AI/Machine Learning Engineer Remote (U.S.)

Flex group, New York, New York, us, 10261

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Overview

Flex is a growth-stage, NYC headquartered FinTech company creating the best rent payment experience. It’s 2025 and paying rent on time can be expensive, inflexible, and difficult. Flex enables users to pay rent throughout the month on a schedule that fits their finances and budget, empowering renters with flexibility over their most significant recurring expense. We are seeking motivated individuals to join us in growing our mission. About the role

We are seeking a Senior Staff AI/ML Engineer to join our dynamic team and lead the development of cutting-edge AI and machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in production, ensuring value and performance at scale. You will collaborate with data scientists, engineers, and product teams to implement state‑of‑the‑art solutions that power our products and services through continuous innovation. What you’ll do

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 support product and business objectives. Build, maintain, and optimize robust ML systems that meet performance, scalability, and reliability standards in a production environment. Continuously monitor and enhance model performance through experimentation, hyperparameter tuning, and iteration to align 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 competitive advantage. Champion responsible AI practices by ensuring models comply with regulatory and ethical standards, focusing on explainability, fairness, bias mitigation, and auditability. Stay current with emerging trends and innovations in AI, ML, software engineering, and scalable deployment to keep systems at the cutting edge. 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 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 production. 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. For working locations in NY, the base salary pay range will be $221,000-$237,000. For all other states, the base salary pay range will be $209,000-$225,000. Life at Flex

We understand that a diverse team of highly intelligent, curious, determined, empathetic, and self-aware people helps grow a successful company. Our HQ is in New York City, with employees across the US, Australia, Canada, and South America. We are growing quickly but deliberately, with a focus on building an inclusive culture. We are an equal opportunity workplace. Benefits

Competitive pay 100% company-paid medical, dental, and vision 401(k) + company equity Unlimited paid time off + 13 company-paid holidays Parental leave Flex Cares Program Free Flex subscription Apply for this job

If you are interested in building your career at Flex, apply through the standard application process. Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the voluntary self-identification survey. Completion is entirely voluntary and will not affect hiring decisions. Any information you provide will be kept confidential.

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