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Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

TrueML

TrueML

51-200 employees

Fintech solutions for debt collection and management

Fintech
Financial Services

Compensation Overview

$87.5k - $135.3kAnnually

Senior

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Redshift
Python
NoSQL
Data Science
Tensorflow
Pytorch
SQL
Docker
CloudFormation
AWS
Terraform
Databricks
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related technical field; Master's degree preferred
  • 5+ years of hands-on experience in machine learning engineering, with at least 3 years in data engineering-focused roles
  • Deep understanding of database systems, ETL architecture, and data warehousing concepts
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Proven experience building and optimizing large-scale data infrastructure using AWS cloud services using tools such as Terraform, CDK, CloudFormation
  • Advanced SQL skills and experience with NoSQL databases, with demonstrated expertise in big data technologies (e.g., Redshift, Databricks)
  • Experience with Docker containerization; knowledge of orchestration platforms like Kubernetes is required
  • Strong analytical and problem-solving skills, with proven ability to design scalable, efficient systems
  • Track record of successful collaboration with data science teams and stakeholders
Responsibilities
  • Building ML Infrastructure: As the main architect, developer, and owner of the Machine Learning infrastructure in production, your role will be to design, architect and build a scalable and efficient infrastructure that serves our needs.
  • ML Pipeline Development: Our vibrant data science team develops new models that solve business problems. The role of our Senior MLE is to understand each model, finding solutions to scale them, and deploy the required pipeline for them.
  • Architecting Data Platform: As a part of the Data and ML Engineering team, you will work closely with other Data Engineers to find the best solutions for building scalable data platform and supporting existing pipelines.
  • Feature Engineering: Creating and maintaining offline and online feature stores and developing requires features for each model.
  • ML Infrastructure Development: Making a scalable, modern and efficient infrastructure for ML models is one of the main responsibilities of this role.
  • Model Monitoring and Maintenance: We have a few models in production that require support and monitoring.
  • Data Strategy: Participating in data engineering team strategy decisions is a key responsibility of this role.
  • Collaboration: The Senior Machine Learning Engineer will help the data engineering team in making architectural and decision decisions that enables creating robust data and ML products, developing ETLs, and working closely with the Data Science team to scale their algorithms and deploy their models in production.

TrueML operates in the financial technology sector, focusing on enhancing the financial services experience for consumers. Its main product, TrueAccord, is a digital platform that streamlines debt collection and recovery, using intelligent technology to improve outcomes for businesses while ensuring a positive experience for consumers. TrueML also offers True Life Solutions, which includes consumer-facing tools like Engage, a communication platform that connects consumers with debt collectors and creditors, helping them manage and pay down debts. Unlike many competitors, TrueML emphasizes inclusivity and customer-friendliness in its approach, aiming to make financial services accessible to everyone, regardless of their financial situation. The company's goal is to transform the financial landscape by providing technology solutions that support both consumer financial health and business efficiency.

Company Stage

N/A

Total Funding

$199.9M

Headquarters

Lenexa, Kansas

Founded

2013

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Simplify's Take

What believers are saying

  • TrueML's products like Retain have demonstrated significant success, recovering over $1 billion in past-due balances and improving customer engagement.
  • The appointment of Thomas Overton as CTO brings experienced leadership to drive further technological innovation.
  • TrueML's mission-driven approach and focus on inclusivity can attract talent passionate about making a positive impact in financial services.

What critics are saying

  • The fintech sector is highly competitive, with numerous companies offering innovative solutions, which could impact TrueML's market share.
  • Reliance on digital communication tools may face challenges with regulatory changes and compliance requirements.

What makes TrueML unique

  • TrueML's digital-first approach to debt collection, leveraging intelligent technology, sets it apart from traditional, often adversarial methods.
  • The company's focus on customer experience and inclusivity in financial services is a unique selling point in the fintech sector.
  • TrueML's patented decision engine and optimization technology for communication delivery provide a competitive edge in engaging delinquent customers.

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