Description:
We’re seeking a Senior Machine Learning Developer to join our Data Services and Moderation team within Unity Ads! In this role, you’ll focus on transforming ML workflows and ETL pipelines into scalable, production-ready systems that support ad moderation efforts. You’ll collaborate with teams of data scientists, software developers, and product managers to design, develop, and deploy various deep learning and LLM/RAG solutions, and ensure their integration into our Unity Ads infrastructure. If you're looking for an exciting and challenging role, that helps app developers drive meaningful monetization, we’d love to hear from you!
What You'll Be Doing
- Design, develop, and maintain cloud machine learning pipelines in production for real-time processing and batch processing.
- Influence and craft the direction of a highly scalable machine learning pipeline.
- Collaborate with data scientists to explore, design, and build pre/post-processing ETL pipelines.
- Translate product requirements into a technical design and implement solutions using all resources available to you.
- Build, monitor, and maintain CI/CD workflows for internal software/tools.
What We're Looking For
- Proficient and strong knowledge in Python, Terraform, cloud platforms (GCP/AWS), Docker, K8, Kafka, Github Actions, serverless, and SQL.
- Familiar with Numpy, Tensorflow, Pytorch, vector DB, neural networks, computer vision, LLM, RAG and general ML concepts.
- Rich experience in building large-scale streaming ETL pipelines, API endpoints, and serverless apps.
- Proficiency in data manipulation and analysis using tools like SQL, BigQuery, Pandas, and/or Spark, along with experience in data visualization and dashboarding.
- Strong interpersonal and communication skills, with successful experience collaborating with distributed teams to deliver complex solutions.
You might also have
- Experience with distributed computing libraries such as Ray or Dask.
- Experience in A/B testing and statistical analysis.
- Experience with ML monitoring solutions (Prometheus, Grafana, etc) in a public cloud environment (GCP, AWS, Azure).
Additional Information
- Relocation support is not available for this position
- International relocation support is not available for this position