Top Remote Python Jobs in Los Angeles, CA

As a Senior Backend Engineer at Atticus, you will design and operate APIs, collaborate with the product team, and architect backend systems focusing on performance and reliability. You will mentor team members and ensure best practices are followed in building scalable solutions.

The Engineering Manager will lead a full-stack product engineering team, focusing on technical leadership and personnel development, collaborating across teams to deliver scalable solutions, mentoring engineers, and creating a supportive team culture.

As a Backend Engineer on the MLOps team, you will develop and maintain CI/CD pipelines for ML model deployment, optimize data processing, collaborate with data scientists on ML models, and implement monitoring systems for ML performance. You'll work closely with cross-functional teams and help transition MLOps features to General Availability, ensuring high standards in product quality and performance.

The Staff Software Engineer will lead technical projects, improve processes, and develop scalable backend services. Key responsibilities include guiding engineering teams, enhancing product quality, collaborating with stakeholders, and ensuring reliable service delivery.

As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI solutions using petabyte-scale data to enhance physical operations for global customers. You will collaborate with engineers and scientists, develop production code, and drive innovation within the AI team.

The Manufacturing Test Engineer will design, build, and support testing stations for Square's hardware, ensuring devices meet quality standards. The role involves collaborating with engineering teams, analyzing test results, and developing test plans for new products. The engineer will utilize technical skills across various fields including electrical engineering and software to troubleshoot and enhance product performance.

As a Lead Machine Learning Engineer, you will build deep learning models for accurate bidding decisions, collaborate with ML and software engineers, and design scalable and efficient systems using various data sources and technologies.