Senior Staff Machine Learning Engineer

Flex; United States; Remote; USD 188,000 - 203,000; Full time

Job summary

An established industry player is seeking a Staff Machine Learning Engineer to lead the development of innovative machine learning systems. This exciting role involves owning the entire lifecycle of machine learning projects, from data collection to model deployment. You will collaborate with cross-functional teams to implement cutting-edge solutions that enhance user experience and drive business growth. Join a diverse and inclusive team committed to empowering renters with flexible payment solutions. If you are passionate about machine learning and want to make a significant impact, this opportunity is perfect for you.

Benefits

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

Qualifications

• 6+ years of experience as a Machine Learning Engineer in production.
• Proficient in Python and ML libraries like TensorFlow and PyTorch.

Responsibilities

• Own the lifecycle of machine learning projects from data to deployment.
• Collaborate with teams to design and deploy machine learning systems.

Skills

Machine Learning

Python

TensorFlow

PyTorch

scikit-learn

Data Preprocessing

Model Optimization

Problem-Solving

Education

Master’s or Ph.D. in Computer Science

Engineering or related field

Tools

AWS

GCP

Azure

Spark

Kubernetes

Job description

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the role

We are seeking an experienced Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge 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 a production environment, ensuring they deliver value and performance at scale. You will collaborate closely with data scientists, product teams and engineers to implement state-of-the-art solutions that power our products and services through continuous innovation.

What you’ll do

• 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 to keep our systems cutting-edge.

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.

Salary Information

The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks.

For working locations in NY/NJ/CA, the base salary pay range will be $209,000-225,000.

For all other states, the base salary pay range will be $188,000-203,000.

Life at Flex

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. 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. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

Employee Benefits

For full time, U.S. based employees we offer:

• Competitive pay
• 100% company-paid medical, dental, and vision
• 401(k) + company equity
• Unlimited paid time off with a PTO minimum + 13 company paid holidays
• Parental leave
• Flex Cares Program: Non-profit company match + pet adoption coverage
• Free Flex subscription

For full time non-US employees, we offer:

• Competitive Pay
• Company Equity
• Unlimited PTO

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV

LinkedIn Profile *

Website

Are you authorized to work in the United States? * Select...

Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? * Select...

Does your salary fall within our estimated range for this role? If not, please specify your salary request. * Select...