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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AI/NLP/ML: Work with Artificial Intelligence (AI) methods, including Natural Language Processing (NLP) and Machine Learning (ML). Big Data: Apply Big Data mining techniques and work with cutting-edge database technologies (PostgreSQL, DynamoDB.
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Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, and is familiar with up-to-date technologies including ML pipeline and infra, data mining, rule engine and distributed computing.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. This role is for a machine learning engineer in the Inference team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You have experience with Systems Software implementation of new algorithms and data engineering / analysis aspects of an ad network in Python and/or Scala and/or Java, or you have research experience in at least three of the following research areas - Algorithms, Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Statistics, Personalization, Recommender Systems, Information Retrieval, Natural Language Processing.
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5+ years of relevant development experience in recommendation systems, ads, time series analysis, image processing, natural language processing. This lead engineer role will be responsible for the analysis, design, testing, development and maintenance of data and AI software products.
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Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. and Machine Learning knowledge (Multimodal, Computer Vision, Speech) are both critical to this role.
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5+ years of relevant development experience in recommendation systems, ads, time series analysis, image processing, natural language processing etc. Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for SMB business.
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We looking for a Software Engineer with Machine Learning knowledge. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Software Engineer, you will collaborate with the top scholars, economists, machine learning scientists and other SDEs across the company to develop, test, and deploy services that implement a wide range of econometric and machine learning models for some of the most confidential projects at Amazon.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management. Architect/design infra and software environments needed to both build and run machine learning models and online services.
$167,530 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Work with other engineering teams to integrate machine learning models into applications and services. Good AWS knowledge and hands-on Terraform development- In-depth understanding of common Machine Learning and Deep Learning algorithms.
$167,530 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models. Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments.
$167,530 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Come and join us, you will get the chance of building large-scale machine learning systems, and working with the best AI system and algorithm researchers and engineers. As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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