Sr. Machine Learning Engineer (copy)

Why TrueAccord?

TrueAccord, a wholly owned subsidiary of TrueML, 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 personalized digital experiences that guide 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.

As our Senior Machine Learning Engineer, you will be the primary architect and visionary for the infrastructure that powers our data-driven culture. We are looking for a powerhouse who can bridge the gap between experimental Data Science and robust, production-grade engineering. Your mission is to build, scale, and own the mission-critical ML pipelines and data platforms that serve millions of our customers daily, turning raw data into real-time decisions.

• Everything you need to work remotely
• Unlimited PTO
• Medical/dental/vision insurance
• 401k through Charles Schwab 
• Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package. 
• Company-paid short-term and long-term disability plus basic life insurance.
• Family-friendly maternity and paternity leave
• Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
• PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
• Paid time off to do volunteer work in your community.
• Access to the Wellness Coach app for you and 5 family members

• Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
• Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
• Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
• Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architectures, ensuring our data platform remains robust and future-proof.
• Ensure System Health: Lead the monitoring and observability strategy for all production models, ensuring reliability and performance through proactive maintenance.
• Shape Technical Strategy: Act as a key stakeholder in architectural decisions, helping the broader team define the strategy for our data products and event-driven architectures.

• A Proven Builder: You have 5+ years of hands-on experience in ML Engineering, with a significant focus (3+ years) on the data engineering side of the house.
• Cloud Native: You are an expert in the AWS ecosystem (Sagemaker, DynamoDB) and thrive using Infrastructure as Code tools like Terraform, CDK, or CloudFormation.
• Automation Minded: You have a deep understanding of containerization and orchestration, specially using Docker and Kubernetes to deploy scalable workloads.
• Technical Polymath: You possess a deep understanding of database systems, ETL architecture, and advance SQL, alongside mastery of Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strategic Collaborator: You excel at working across functional lines - Translating Data Science needs into engineering requirements and mentoring others on best practices.
• Big Data Enthusiast: You ideally have experience with Snowflake, Databricks, or streaming technologies like Kafka to handle event-base data at scale.

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

TrueML and TrueAccord are equal-opportunity employers. 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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