Machine Learning Engineer • Senior

Who you are

You have a strong background in software engineering with a focus on machine learning — your experience includes designing and optimizing scalable ML infrastructure that supports complex data workflows. You are proficient in Python and have hands-on experience with tools like Apache Spark and Kubernetes, enabling you to build efficient data pipelines and orchestration systems.

You thrive in collaborative environments and enjoy working alongside engineers and researchers to bridge the gap between cutting-edge research and production-grade deployment. Your problem-solving skills are complemented by a passion for leveraging AI technologies to drive impactful business solutions.

Desirable

Experience with cloud platforms and infrastructure as code tools like Terraform and ArgoCD is a plus. Familiarity with modern data processing frameworks such as Databricks and Trino will set you apart as a candidate.

What you'll do

In this role, you will architect and operate resilient ML job execution frameworks that cover training, inference, and post-processing workflows. You will develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes, ensuring that the infrastructure is robust and scalable.

You will build scalable batch pipelines using Apache Spark to support large-scale ML training and evaluation, enabling the team to process and analyze vast amounts of data efficiently. Your responsibilities will also include designing and maintaining robust data infrastructures that facilitate seamless data access and manipulation.

You will collaborate closely with cross-functional teams to identify and solve real-world marketing challenges, leveraging omnichannel customer data at scale. Your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology.

What we offer

At Appier, you will be part of a leading SaaS company at the forefront of AI innovation. We offer a dynamic work environment where your contributions will be valued and recognized. You will have the opportunity to work with world-class engineers and researchers, tackling challenging ML infrastructure problems with creativity and passion.

We encourage you to apply even if your experience doesn't match every requirement — your enthusiasm and willingness to learn are just as important to us. Join us in transforming industries through AI and making it accessible and profitable for businesses worldwide.