Overview
Application Skills
Application Category Skills
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Equifax provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, has the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to practice.
What you’ll do
Design platforms and pipelines for researching, developing, and running machine learning models
Productionize machine learning models by building performant data transformations, storage, and pipelines
Develop and maintain microservices that serve data, model features, and scores to other internal services, as well as external customers
Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross-functional team consisting of Data Science, Operations, and Engineering
Apply development and testing best practices (including unit, service, and integration tests) and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
Collaborate with the product team, architects, and others to document features and changes.
Identify gaps and iterative improvements to legacy model platforms, frameworks, or governance stacks
Adhere to and influence best practices (i.e. security, architecture, platform, etc.)
Participate in peer design and code reviews
Participate in on-call rotation with other engineers
What experience you need
BS in Computer Science, Engineering, or equivalent experience.
3+ years of strong software engineering and software architecture background using languages such as Golang, Python, and SQL.
3+ years of experience building RESTful APIs and/or gRPC within a distributed microservice architecture.
2+ years of experience implementing Amazon Web Services (e.g., IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
2+ years of experience using IaC tooling such as Terraform
Experience working with machine learning frameworks such as SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
Experience serving ML model inference at scale in low-latency (<30ms) environments.
Experience with metrics, logging, and evaluating model performance (e.g., DataDog, evaluation latency, and ROC curves).
What could set you apart
Experience with Snowflake
Experience with AWS EMR
Experience deploying diverse model architectures into production using portable formats like ONNX or MLeap.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!