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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..
We’re friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We’re good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.
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.
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