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 2026 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?
We are seeking an experienced Senior 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.
- Candidates with domain expertise in areas like payment risk, fraud detection, or customer success are highly preferred.
- Expertise and familiarity with NLP models are considered an asset.
- 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.
#LI-Remote
Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.
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.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Skills Required
- Master's or Ph.D. in Computer Science, Engineering, or a related field
- 6+ years of experience as a Machine Learning Engineer
- Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn
- Extensive experience with cloud platforms and distributed computing frameworks
- Proven track record of implementing end-to-end machine learning pipelines
- Strong background in model optimization, version control, and CI/CD practices
- Excellent problem-solving abilities and collaboration skills
Flex Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flex and has not been reviewed or approved by Flex.
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Healthcare Strength — Day-1 medical, dental, and vision coverage is explicitly offered and framed as “best-in-class coverage and options,” suggesting strong baseline health benefits. Additional listings also describe broad health-support elements such as IVF/adoption and gender transition benefits, reinforcing depth in healthcare-related coverage.
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Retirement Support — A 401(k) is available, with a stated company match starting in early 2026, indicating improving retirement support. This rollout appears to address earlier gaps where matching was not consistently present.
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Leave & Time Off Breadth — Unlimited PTO plus company holidays (and, in some descriptions, shutdown days) indicates a wide time-off policy on paper. Hybrid work flexibility and office-day meal credits can add to the overall rewards value for NYC-based employees.
Flex Insights
What We Do
Flex, an NYC-headquartered FinTech company, has created a trusted rent payment experience. It’s hard to believe that it’s 2024 and paying rent on time is expensive, inflexible, and difficult; we’re here to change that! We enable our users to pay rent throughout the month on a schedule that better fits their finances and budget, while also helping them build credit. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense.
Why Work With Us
We believe it takes a diverse team of curious, determined, empathetic, and self aware people to grow a successful company. We value the unique and dynamic perspectives our team brings to solve critical problems that impact the lives of our users and the financial decisions they make.
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