Senior ML Engineer: Real-Time Pipelines & LLM Deployments

unity3d; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company is seeking a Senior Machine Learning Developer for their Data Services and Moderation team. The role will focus on optimizing and implementing large-scale machine learning systems and ETL pipelines to support ad moderation efforts. Candidates should have a strong command of Python, experience in cloud platforms like GCP or AWS, and familiarity with various ML technologies. The position involves collaboration with cross-functional teams and the management of CI/CD processes.

Qualifications

• Excellent command of Python, Terraform, cloud platforms (GCP/AWS), Docker, K8s, Kafka, Github Actions, serverless, and SQL.
• Experience with Numpy, Tensorflow, Pytorch, vector databases, neural networks, computer vision, LLM, RAG, and machine learning concepts.
• Solid experience in building large-scale ETL pipelines, APIs, and serverless applications.
• Strong skills in data manipulation and analysis with tools like SQL, BigQuery, Pandas, or Spark.
• Experience in data visualization.

Responsibilities

• Design, develop, and maintain cloud machine learning pipelines in production for real-time and batch processing.
• Influence and guide the direction of a scalable machine learning pipeline.
• Collaborate with data scientists to create pre- and post-processing ETL pipelines.
• Translate product requirements into technical solutions and implement effective solutions.
• Manage and improve CI/CD processes for internal software and tools.

Skills

Python

Cloud platforms (GCP/AWS)

Docker

Kubernetes (K8s)

Kafka

SQL

Numpy

Tensorflow

Pytorch

Data visualization tools

Job description

A leading technology company is seeking a Senior Machine Learning Developer for their Data Services and Moderation team. The role will focus on optimizing and implementing large-scale machine learning systems and ETL pipelines to support ad moderation efforts. Candidates should have a strong command of Python, experience in cloud platforms like GCP or AWS, and familiarity with various ML technologies. The position involves collaboration with cross-functional teams and the management of CI/CD processes.