Senior Machine Learning-MLOps Developer
closed
Unity
💵 $110k-$178k
📍Remote - Canada
Summary
Join Unity Ads as a Senior Machine Learning Developer and contribute to the Data Services and Moderation team. You will be responsible for transforming ML workflows and ETL pipelines into scalable, production-ready systems that support ad moderation efforts. This role involves collaborating with data scientists, software developers, and product managers to design, develop, and deploy deep learning and LLM/RAG solutions, ensuring their integration into the Unity Ads infrastructure. If you are passionate about driving meaningful monetization for app developers and seeking a challenging and exciting role, this opportunity is for you.
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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)
This job is filled or no longer available