Career at top companies: Google, Amazon, Meta, and OpenAI are hiring engineers and AI specialists

Software Engineer — Google
Google is looking for a software engineer to work on scalable services and the company's infrastructure products. Responsibilities include developing and maintaining distributed systems, participating in architecture design, and optimizing performance. Commercial development experience, proficiency in at least one programming language, and an understanding of how large-scale systems work are required.

Software Development Engineer — Amazon
Amazon is opening Software Development Engineer positions within AWS and internal services teams. The specialist will be responsible for developing backend services, microservice architectures, and cloud solutions. The company expects industrial development experience, strong proficiency in Java, C++, or Python, and skills in working with high-load systems.

Machine Learning Engineer — Meta
Meta is hiring ML engineers to work on Facebook, Instagram, and the company's AI platforms. Tasks include training and deploying machine learning models, analyzing large datasets, and improving recommendation quality. Experience in ML/AI, proficiency in Python, PyTorch, or TensorFlow, and an understanding of data pipelines are required.

Senior Software Engineer — Microsoft AI
Microsoft is seeking a Senior Software Engineer for the Microsoft AI team in Redmond, USA, to develop and maintain scalable web experiences and services. The engineer will work on creating technical solutions, closely collaborating with frontend and backend teams, designing architecture, writing and optimizing code, and implementing features for millions of users. Several years of software development experience, strong skills in web frameworks and cloud architectures, an understanding of distributed systems, and knowledge of modern web technologies are required.

Machine Learning Engineer — Apple
Apple is looking for a Machine Learning Engineer to work with computer vision and deep learning algorithms for VisionOS and other company products. The specialist will participate in the entire ML lifecycle — from model design and training to their integration and quality evaluation in products used by millions of users. Programming experience in Python, proficiency in PyTorch, a deep understanding of machine learning algorithms, and the ability to solve complex research tasks in products and ML infrastructure are required.

AI Developer Technology Engineer — NVIDIA
NVIDIA is seeking an AI Developer Technology Engineer for the Compute Developer Technology team, which helps developers optimize and deploy AI solutions based on NVIDIA GPU architecture. Responsibilities include developing and maintaining tools and libraries to accelerate AI adoption, closely collaborating with SDK engineers, and training users on CUDA/AI technologies, assisting in creating high-performance ML applications, and optimizing models. Programming experience, deep knowledge of machine learning algorithms and GPU computing, and the ability to solve complex technical tasks at the intersection of hardware acceleration and AI software are required.

Research Engineer — OpenAI
OpenAI is opening Research Engineer positions to work on cutting-edge AI models and research projects. The role combines engineering development with research activities, including work with large language models. A strong technical background, programming experience in Python, and an interest in AI research are required.