Remote Software engineering Jobs · Tensorflow

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.

Ads Targeting ML engineers design and implement ML systems and solutions for improving targeting products. As a staff machine learning engineer in the ads targeting quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Develop and train machine learning models for fault detection and classification based on time-series sensor data; including vibration, temperature, pressure, flow etc. Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies. Experiment with and evaluate various algorithms to optimize model performance.

As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. You will design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more. Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more. Architect pipelines to build and maintain massive graph data structures.