Senior Staff Machine Learning Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary:
  • For working locations in NY/NJ/CA: $209,000 - $225,000
  • For all other states: $188,000 - $203,000 (Compensation is commensurate with experience and internal leveling guidelines.)

Flex is a growth-stage, NYC-headquartered FinTech company dedicated to revolutionizing the rent payment experience. We aim to make paying rent flexible and accessible for renters nationwide. We are seeking an experienced Senior Staff Machine Learning Engineer to lead the development and deployment of cutting-edge machine learning systems that drive business growth. This role is crucial for implementing state-of-the-art solutions that power our products and services through continuous innovation.

Responsibilities

• Own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance in a production environment.
• Build, maintain, and optimize robust data pipelines that support model development, training, and deployment at scale.
• Implement machine learning algorithms and models that meet performance, scalability, and reliability requirements in a production setting.
• Collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems that address business and product needs.
• Continuously monitor and improve model performance, conducting experiments, tuning hyperparameters, and ensuring models meet business objectives.
• Leverage distributed computing frameworks and cloud-based platforms to process large-scale datasets efficiently.
• Stay up-to-date with the latest advancements in machine learning, software engineering practices, and deployment strategies.

Key Qualifications

• Master’s or Ph.D. in Computer Science, Engineering, or a related field.
• 6+ years of experience as a Machine Learning Engineer, with expertise in building and deploying machine learning models in production environments.
• Strong proficiency in Python, or similar programming languages, and experience with ML libraries like TensorFlow, PyTorch, and scikit-learn.
• Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes).
• Proven track record of implementing end-to-end machine learning pipelines, from data preprocessing to production deployment and monitoring.
• Strong background in model optimization, version control, and CI/CD practices for machine learning.
• Excellent problem-solving abilities and the capacity to collaborate with cross-functional teams to deliver high-quality, production-ready systems.

Company Information

Flex is a growth-stage, NYC headquartered FinTech company creating the best rent payment experience. Our mission is to empower renters with flexibility over their rent payments. We have significant investor support and an enthusiastic user base, and we are looking for motivated individuals to help us grow. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada, and South America. We are growing quickly but deliberately, with a focus on building an inclusive culture. We value a diverse team of highly intelligent, curious, determined, empathetic, and self-aware people.

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