Senior Staff Machine Learning Engineer, Flex
$170-235k
Salary dependent on candidates location
Flexible rent payment application
Posted today
Flexible rent payment application
501-1000 employees
Posted today
$170-235k
Salary dependent on candidates location
501-1000 employees
Company mission
To help people pay for the things that matter most.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Many people struggle to pay their rent every month, with a variety of bills hitting their bank accounts simultaneously. Whilst many of these people earn enough money to cover their bills, the inflexible nature of monthly bills can make the all-in-one payment a harder obstacle.
Flex provides a mobile application for the flexible payment of rent, allowing users to pay their landlords through flexible payment plans, reschedule payments when necessary, and protect their funds through Overdraft Protection. The company achieves this by partnering with estate agents and paying their resident's bills upfront, taking on the challenges that landlords would normally have due to late payments.
Flex has experienced extremely rapid growth since its founding which has caused some issues, as it struggled to keep up with the surge in new customers. Having made improvements to its product and scaled its customer service team, it is set to continue providing a service that has come to be highly valued by both tenants and landlords.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2022
$160m
SERIES C
Apr 2021
$46.6m
SERIES B
Total funding: $225.1m
Company benefits
- Medical, Dental & Vision: Your healthcare will be available from Day 1— giving you immediate peace of mind — with best in class coverage and options.
- Parental Leave: Step away with paid time off to focus on family and life’s newest chapter.
- NYC HQ: Collaborate in our lively New York headquarters, with new office space on the way!
- 401(k) Retirement Savings: Plan ahead with our 401(k) program to grow your future. And starting early 2026, employees will be eligible for a company match!
- Flex Giving: Flex Giving empowers employees to support local nonprofits advancing housing stability in the communities we call home.
- Employee Assistance Fund: Confidential financial support to teammates facing unexpected hardships or emergencies.
- Hybrid Work Policy: Work flexibly from home, with in-person collaboration and events that matter.
- Unlimited PTO + Holidays: Take the time you need— whether that’s a vacation, recharge, or simply a long weekend
- Free Flex Subscription: As a Flex employee, you'll have full access to our services without charge.
- GrubHub Credit: Enjoy meal credits while in the office, so you’re fueled for the workday ahead.
Company HQ
Midtown Manhattan, New York, NY
Leadership
Shragie Lichtenstein
(Co-Founder & CEO)Prior to co-founding Flex in 2019, Shragie co-founded Boundless Reality. They graduated from Yeshiva University in 2015 with a Bachelor's Degree in Finance.
YeTong Shao
(Co-Founder)Prior to co-founding Flex in 2019, YeTong co-founded Boundless Reality alongside Shragie. They graduated from the University of Chicago with a Bachelor's Degree in Mathematic & Economics.
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