Machine Learning Ops Engineer, Fundbox
$150-175k
+ Equity
More information about location
Credit lines for small business based on your revenue streams
Open for applications
Credit lines for small business based on your revenue streams
101-200 employees
Open for applications
$150-175k
+ Equity
More information about location
101-200 employees
Company mission
To unlock the potential of small businesses by giving them financial agility and peace of mind.
Role
Who you are
- At least 5 years experience in MLops Engineering
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
- Proven experience as a Machine Learning Engineer, or in software development with a focus on infrastructure and model deployment
- Proficient in programming languages such as Python, Node.js, Java, or Scala
- Strong SQL skills and experience with database technologies
- Hands-on experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP)
- Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker)
- Excellent communication and collaboration skills
- Solid understanding of continuous integration and continuous deployment (CI/CD) best practices
- Previous Fintech experience is a plus!
What the job involves
- In this role, you will play a crucial part in all Machine Learning lifecycle operations, offline and online feature serving for AI models, Data pipeline for ML, Model training, CI\CD for AI models, and more
- As a key member of the MLOps team, you will collaborate with cross-functional teams to streamline the end-to-end machine learning lifecycle and contribute to optimizing our MLOps processes
- ML Data Pipelines: Design, develop, and implement robust, scalable systems for feature engineering to support both online and offline model inference
- Model Deployment: Build reliable and efficient deployment pipelines for machine learning models to ensure their smooth transition into production
- CI/CD for ML Models: Develop and maintain CI/CD pipelines to support continuous model updates and releases
- Feature Engineering: Collaborate with data scientists to develop and refine features that enhance model performance
- Monitoring & Quality Assurance: Establish comprehensive monitoring and logging systems to detect anomalies, drifts, or performance issues in deployed models
- Collaboration: Work closely with DevOps and DataOps teams to integrate machine learning solutions with the broader technical infrastructure
Our take
Having a reliable cash flow is essential for any business. Compared to transfers between individuals, B2B payments have been relatively slow to digitize, with payments delayed for around two months on average for small and medium sizes businesses.
Fundbox has created a platform that speeds up how money is exchanged between businesses. Currently, there is over $3T in the U.S. stuck in accounts receivable, meaning cash that is owed between small business buyers and sellers.
As it moves forward, payments are its focus. The payments industry has seen revenue steadily growing, reaching almost $2T globally in 2018. New entrants are tapping into more areas of the space, although Fundbox is competing with companies like Stripe and Kabbage, it believes there is a big enough opportunity in the business-to-business market for several companies to thrive.
The company's long term goal is to be the Visa of B2B payment and credit, offering short-term small-business loans and B2B sellers can get paid at the time of sale via Fundbox Pay. At present, over 500,000 SMBs use FundBox, and it partnered with SMB financial health platform Nav in 2024, using the latter's financial health analysis to create more certainty for SMBs in loan underwriting.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Employee endorsements
Challenging work
"Fundbox trusts all employees, even new teammates, with scope and high impact projects that make working here both challenging and rewarding. By..."
Funding (last 2 of 6 rounds)
Nov 2021
$100m
SERIES D
May 2020
$20m
SERIES C
Total funding: $403.5m
Company benefits
- $500 Personal and professional development budget
- Generous PTO policy to include vacation, sick time and more
- $200 Monthly lunch budget
- Total wellness benefits, including individual annual budget, mental and physical health resources and more
- $350 Stipend to improve your home office setup
- Premium coverage for health plans offered from day one (some options covered at 100% for Employees)
- 401k, Life insurance and disability benefits
- HSA employer contributions
Company values
- Culture: We work hard to cultivate a respectful, diverse, and inclusive environment. We make empowering each other an everyday priority
- Collaboration: We value a team-think approach, knowing we do our best work when we pool our strengths and solve problems together
- Inclusivity: We want you to be, well, you. We believe in fostering an environment of acceptance, where everyone can bring their authentic selves to work
Company HQ
Plano, TX
Articles
Leadership
Prashant F.
(CEO)Initially joined Fundbox as COO in 2016, before becoming CEO in 2020. They are also a Lecturer at Stanford Graduate School of Business, Johnson Graduated School of Management at Cornell University, and the University of California, Berkeley, Haas School of Business.
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