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Splash Financial

Machine Learning Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in USA
100K-135K
Junior
Remote
Hiring Remotely in USA
100K-135K
Junior
As a Machine Learning Engineer, you will develop CI/CD pipelines, collaborate on ML projects, and leverage data science insights to enhance business decisions.
The summary above was generated by AI
ABOUT OUR COMPANY:
The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial. 

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $70 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, 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 and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it. 

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is seeking a Machine Learning Engineer to join our team! 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.

WHAT YOU’LL DO AT SPLASH:

  • 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.

WHAT YOU’LL BRING TO SPLASH:

  • 1–2 years of experience in a machine learning engineering or related role.
  • 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 is a PLUS.
  • 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.

COMPENSATION:

The base salary range for this role is $100,000 to $135,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level.

 


SPLASHERS ENJOY:

  • Fully remote work freedom
  • Competitive salary packages
  • Flexible PTO + 9 company holidays
  • Equity: Share in our start-up success
  • Comprehensive and affordable insurance benefits
  • Paid parental leave for both caregivers
  • Essential equipment to get the job done
  • 401(k) for your future savings
  • Quarterly meet-ups: In person & virtual fun
  • Awesome Splash swag to flaunt your team spirit

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.

Top Skills

Airflow
Aws Cloudformation
Aws Sagemaker
Databricks
Dbt
Python
Snowflake
SQL
Terraform

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