Machine Learning Engineer

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!

Primary Location: USA-ID-Boise Function: Function - Tech Dev and Client Services Schedule: Full time At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees.

Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.

For US Applicants If you'd like more information on your EEO rights under the law, please view our EEO is the Law Declarations, and Nondiscrimination Provision. If you need a reasonable accommodation to assist with your job search or applicant for employment, please contact us by sending an email to [email protected]. In your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying.

Equifax participates in E-Verify and Right to Work (English and Spanish).