Senior Machine Learning Engineer

Position Overview

• Location Type: Remote (US Based)
• Job Type: Full-time
• Salary: Not specified

Attain is seeking an experienced Senior Machine Learning Engineer to enhance the development of a machine learning platform. This role involves leading the transformation of machine learning models and algorithms into AI products for consumers, customers, and partners. The position is remote and US-based, with occasional travel to office locations.

About Attain

Attain is a company built for consumers and businesses, believing they can coexist in a data-driven world. Their platform empowers consumers to leverage their data for modern financial services, including savings tools, earned wages, and rewards, without cost or hidden fees. In return, consumers grant permission for their real-time data to be used for research, insights, and targeted advertising. Attain aims to build a more equitable and efficient data-sharing ecosystem.

About the Role

The Senior Machine Learning Engineer will contribute to the development of a machine learning platform that enables data scientists and engineers to easily build and deploy machine learning solutions at scale. This role offers the opportunity to work directly with hands-on leaders and mission-driven individuals.

What a typical week might look like

• Contribute to the development of the machine learning platform, focusing on execution.
• Lead by example and define best practices for robust and efficient machine learning service development, including data pipeline development and automation, model versioning, deployment, monitoring, feature store, and continuous model training.
• Design and manage CI/CD pipelines for machine learning product deployment.
• Collaborate with a cross-functional team (data scientists, engineers, product managers, business stakeholders) to deliver AI services cost-effectively with quality, efficiency, and security.
• Contribute to the machine learning engineering roadmap and priorities.

Requirements

• 6+ years of hands-on experience building and deploying machine learning models.
• Strong expertise in developing and deploying offline and online machine learning services in production.
• Solid understanding of machine learning software and infrastructure development.
• Proficiency in Python.
• Experience with cloud computing services or platforms (GCP preferred).
• Strong SQL skills.
• Familiarity with version control and peer code review systems.
• Demonstrated ability to learn and embrace new technologies, applications, and approaches.
• Willingness to be hands-on and adapt to business needs.
• Strong written and verbal communication skills, with the ability to explain technical topics to diverse audiences.

Application Instructions

Interested candidates are encouraged to apply. Attain values continuous growth and encourages applications even if experience doesn't match every detail of the job description. Resumes will be kept on file for future opportunities.