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Machine Learning Engineer

Splash Financial

Splash Financial

Software Engineering
Posted on Friday, December 29, 2023

About Our Company:

We got tired of seeing our friends and family struggle under the crushing weight of student loans. So in 2013, we did something about it. We made a marketplace filled with banks and credit unions looking to help student borrowers. We used that network to help people shut out of refinancing find a way in. And we did it all from a tiny office in Cleveland, OH. In other words: we built Splash Financial.
Today, we’ve become a national leader with over $6 billion in refi requests. We’re expanding into technologies like machine learning, and automated underwriting that helps us match consumers to great offers — right from their phone. And we’ve raised over $70 million from investors like DST Global, Citibank, Northwestern Mutual, DVP, CMFG Ventures and more. But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt.

About Our Workplace:

Splash is remote-first, and proud of it. We spend our days creating ways to simplify financial products, then get them into the hands of people who need help. Right now, we’re focused on developing financial technologies that fundamentally change the way the industry lends. And before you ask: no, we’re not a crypto thing. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups, access to community and engagement tools. And although we’ve been around since 2013, we still love to think like a start-up — a place that empowers good people to do great things, fast. We’re friendly, folksy, and have Slack channels for both major league sports and minor league anime.
Also: we sometimes have free t-shirts.


Splash Financial is seeking a MLOps Engineer. As an integral part of cross-functional teams spanning business, product, engineering, and data science, you'll be the driving force behind projects - from inception to launch - empowering the team to harness the potential of Machine Learning for informed decision-making that propels Splash's business forward.


  • Develop and implement cutting-edge CI/CD pipelines, automating the deployment, testing, and monitoring of AI/ML models and applications.
  • Collaborate closely with data scientists, data engineers, and software engineers to refine model training, deployment, and inference pipelines.
  • Keep abreast of the latest advancements and trends in MLOps, DevOps, and cloud technologies, actively sharing insights with the team to foster continuous improvement.


  • Solid grasp of Software Engineering practices, coupled with a good understanding of Data Engineering and MLOps principles.
  • Understanding of common ML algorithms and hands-on experience in crafting ML models coding in Python (pandas, numpy, sklearn).
  • Hands-on proficiency with AWS Sagemaker, and ML deployment lifecycle.
  • Experience building data infrastructure in a cloud environment using one or more infrastructure as code tools (Terraform, AWS CloudFormation, etc.)
  • Expertise in working with cloud data integration platforms (Airflow, DBT, Snowflake, Databricks, etc.)
  • Experience manipulating and analyzing data using SQL and Python.
  • Track record of successfully collaborating with product managers in delivering impactful products.
  • Hold a Bachelor's degree in quantitative fields such as Computer Science, Software Engineering, or Physics. Master’s degree preferred.


  • Comprehensive and affordable insurance benefits
  • Unlimited paid time off policy
  • 401(k) enrollment
  • 9 paid company holidays
  • Paid parental leave

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.