Minimum qualifications :
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence or deep learning.
- Experience with Large Language Models, NLP or Generative AI.
Preferred qualifications :
- Master's degree or PhD in Computer Science or related technical field.
- Experience training and improving deep learning models (e.g., multi-task models, sequence modeling, Long Short-Term Memories (LSTMs), Convolutional Neural Networks (CNNs), Attention).
- Experience with transformer models or recommendation systems.
- Experience with the modern ML stack or TPUs.
- Experience with applied ML and infrastructure.
- Excellent publication record in conferences (e.g., NeurIPS, RecSys).
About The Job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
- Conduct applied research to improve the quality and training / serving efficiency of Large Transformer-based User Models.
- Build, improve, and productionize Large Transformer-based User Models.
- Experiment, analyze, and iterate over Large User Models for Google products (e.g., Play, Search) to improve model quality.
- Collaborate with researchers to develop new Machine Learning (ML) architectures, techniques, and metrics.
- Research in recommendation systems and Large Models from other domains (e.g., Language, Vision, Multimodal).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
J-18808-Ljbffr
Machine Learning Infrastructure Engineer
If you are a software engineer, with a passion for machine learning, who enjoys building new systems and adapting them to a rapidly evolving field, then we have many exciting problems for you to work on! You will join a tight-knit team of research scientists and engineers to tackle technical and hum...
Senior Software Engineer, Machine Learning, Google Cloud Compute
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scal...
Machine Learning Engineer , EC2-Commercial Software Services
In the refactoring space, we are seeking a ML Engineer to experiment with ML algorithms and tools, select appropriate datasets and data representation methods, perform feature engineering, model selection and validation, run machine learning tests and benchmarking, perform fine-tuning using test res...
Software Engineer III, Machine Learning, YouTube
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Proficiency in code and system health, diagnosis and resolution, and software test engineering. We're looking for engineers who brin...
Machine Learning Engineer, TikTok Core Feed Recommendation
Minimum Qualifications- Bachelor degree or above in computer science or a related major, with 2+ years of related work experience;- Strong software development experience with C++, Python or other programming language;- Experience in one or more of the following areas: applied machine learning, mach...
AIML - Software Engineer, Machine Learning Platform & Intelligence
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. We design and build infrastructures to support features tha...
Senior Software Engineer - Machine Learning
We seek a highly skilled and experienced senior machine learning engineer to join our team. The ideal candidate will have a strong computer science and mathematics background and experience building scalable software systems to apply machine learning algorithms in the enterprise domain. As a C3 AI P...
Staff Software Engineer, Machine Learning, Google Workspace
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scal...
Software Development Manager, AWS Neuron Machine Learning Distributed Training, Benchmarking and Dashboarding
As the SDM of Software Development for the Machine Learning Distributed Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Enginee...
Principal Machine Learning Engineer
Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems in automation and Chrome development, such as natural language processing, computer vision, recommendation systems, or predictive analytics. Deployment and Integration:...