Machine Learning Engineer

Machine Learning Engineer

Why TrueAccord?

TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.

With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.

The Role:

TrueAccord is looking for a Machine Learning Engineer to join its growing AI & Data Science team. You will join a multi-functional team of data scientists and engineers dedicated to creating a data driven culture, improving the efficiency and dependability of the way we make decisions. 

In this role, you will build and productionalize models used in our core product. You will own and develop the core machine learning infrastructure and will help to improve the model development lifecycle. You will work closely with data scientists, engineers and product team partners to deploy machine learning-based projects destined to have the highest impact on external and internal customer experience.

We’re looking for a driven, self-sufficient engineer with strong programming skills, who thrives in a collaborative environment. You should have an excellent grasp on core machine learning techniques and a product focused mindset. You should be passionate about efficient and scalable coding principles and determined to have a huge impact at TrueAccord.

Key Responsibilities:

    • Build and productionalize machine learning algorithms
    • Lead adoption and integration of new technologies to improve our machine learning development and production pipelines
    • Design and develop frameworks to easily assemble training workflows and data pipelines for machine learning
    • Collaborate with data scientists to improve tools for visualization and debugging of models and features

You have:

    • Minimum 5 years of experience in applied data science or engineering with focus on machine learning
    • Python expertise with deep knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, Tensorflow, Keras, PMML etc.)
    • Advanced degree in Computer Science, Engineering or a related field 
    • Ability to lead architectural discussions, drive technical decision making and implement day-to-day changes

Nice to have:

    • Strong cross-functional communication skills with technical and non-technical partners
    • Experience working with the AWS ecosystem
    • Solid understanding of experiment design
    • FinTech background


Benefits, Perks, and Culture

- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits

We offer a healthy work environment that continuously builds an inclusive and diverse culture where everyone is able to develop the best version of themselves. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
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