Sr. Staff Machine Learning Engineer

TL;DR

Sr. Staff Machine Learning Engineer (Machine Learning/NLP): Own end-to-end production ML systems, from data collection and preprocessing to model deployment, monitoring, and maintenance, with an accent on scalable data pipelines, distributed computing, and reliable model performance at scale. Focus on building and optimizing ML algorithms and experiments (including hyperparameter tuning) that meet business objectives in a production environment.

Location: USA

Salary: $170,000–$235,000 USD (tiered by work location)

Company

hirify.global is a growth-stage, NYC-headquartered FinTech company building a better rent payment experience.

What you will do

• Own the end-to-end lifecycle of machine learning projects in production, including data collection, preprocessing, deployment, monitoring, and maintenance.
• Build, maintain, and optimize data pipelines that support model development, training, and deployment at scale.
• Implement and optimize ML models and algorithms to meet performance, scalability, and reliability requirements.
• Collaborate with data scientists, product teams, and engineers to design and deploy ML systems aligned to business and product needs.
• Continuously monitor and improve model performance through experiments and hyperparameter tuning.
• Use distributed computing frameworks and cloud platforms to process large-scale datasets efficiently.

Requirements

• Master’s or Ph.D. in Computer Science, Engineering, or a related field.
• 6+ years of experience as a Machine Learning Engineer building and deploying ML models in production.
• Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Extensive experience with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (Spark, Kubernetes).
• Proven experience implementing end-to-end ML pipelines from preprocessing to production deployment and monitoring.
• Strong background in model optimization, version control, and ML CI/CD practices.

Culture & Benefits

• Full-time U.S. benefits include medical, dental, and vision; 401(k) with company match; unlimited paid time off plus 13 paid holidays; parental leave; and a free hirify.global subscription.
• Company equity is offered.
• Hybrid on-site expectations (2–3 days/week) apply to roles in New York, San Francisco, and Salt Lake City; relocation assistance may be available for candidates outside those areas.
• Equal opportunity workplace with an inclusive culture.

Hiring process

• Interview process includes technical evaluation of production ML systems and collaboration experience.
• Final steps align compensation to experience, qualifications, and internal leveling guidelines.