Senior Software Engineer, Machine Learning (Enterprise Solution)

Job Description

Appier, an AI SaaS company, is seeking a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. This team applies ML technologies to marketing problems using omnichannel customer data. The role involves bridging the gap between research and production by building and optimizing scalable, high-performance ML infrastructure.Appier is looking for someone to design and operate robust ML job execution frameworks, build and maintain internal API servers and developer tools, architect and scale batch pipelines, design and monitor data infrastructure, ensure high availability and observability, create internal tools, collaborate with ML scientists, and partner with cross-functional teams.What this role involves:

• Designing and operating robust ML job execution frameworks for training, inference, and post-processing.
• Building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes.
• Architecting, implementing, and scaling batch pipelines for ML training and evaluation.
• Designing and monitoring data infrastructure using PostgreSQL and other databases.
• Ensuring high availability and observability through monitoring tools.
• Creating internal tools and services to simplify ML experimentation and production workflows.
• Collaborating with ML scientists to turn research outputs into user-facing product features.
• Partnering with engineers, PMs, and other cross-functional teams to deliver high-quality AI products.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure.
• Proficiency in at least one programming language such as Python, Java, or Go.
• Experience in cross-functional collaboration and leading projects.
• Impact-driven mindset, strong analytical and problem-solving skills.
• Proficient in using LLM-powered tools.

What Appier offers:

• Opportunity to work on cutting-edge ML technologies.
• Chance to collaborate with ML scientists and cross-functional teams.
• Involvement in building and optimizing scalable, high-performance ML infrastructure.