Data Scientist, GenAI / LLM About the Program Amazon Translation Services (TS) is the team that makes Amazon's... Read more
Data Scientist, GenAI / LLM
About the Program
Amazon Translation Services (TS) is the team that makes Amazon's content available in every language it sells in. It translates billions of words a year across 130+ locales for developers, product and program managers, and linguists across the company. Its mission is a hands-off-the-wheel translation service: content goes in, accurate translations come out, with minimal human touch and at the lowest possible cost.
You would join a new science team within TS that runs with a start-up mindset. The long-term technical strategy is still taking shape, so there's real room to design GenAI solutions from scratch. The models you build and deploy now will process millions of pieces of content every day.
The Role
This is a hands-on applied science role focused on production work, not pure research. You'll take large language models and multimodal models, fine-tune them for problems that no off-the-shelf model solves, and deploy them at scale with low latency. You'll work alongside software engineers, data scientists, product managers and a dedicated MLOps team.
What you'll do:
Evaluate and select models for incoming text, image and video content. This includes working out whether a piece of content holds a translation opportunity, such as text embedded in an image. Fine-tune models across the full image localization workflow: OCR extraction, grouping text within images, translation, and rendering translated text back onto the image. The work spans many languages and content types. Match model size to the problem. That means choosing the smallest model that does the job well rather than over- or under-engineering it. Find automation opportunities across the translation pipeline (training, sampling, inferencing) and work with the MLOps team to automate repeated manual work. Design and ship production-grade ML solutions that handle millions of pieces of content daily at low latency. Run data analysis to drive recommendations, and explain technical approaches clearly to both technical and non-technical stakeholders.What We're Looking For
Required:
3+ years building machine learning models for real business applications. Hands-on LLM experience that goes beyond prompt engineering: fine-tuning models, adjusting weights and parameters, and working directly with model internals. A solid understanding of how foundation models work under the hood, and the judgment to pick the right model for the problem. Open source or closed models are both fine. Experience building and deploying production-grade models at scale. Strong programming in Python. Java or C++ backgrounds are also welcome. PhD, or Master's degree plus 4+ years of experience in Computer Science, Computer Engineering, Machine Learning or a related field. Comfort with ambiguity and autonomy on an early-stage team, where engineering judgment matters as much as model performance.Nice to have:
Experience hosting and serving your own models. A background in NLP, machine translation, OCR, or multilingual or vision-language models. Patents or publications at top-tier peer-reviewed conferences or journals. Depth in algorithms and data structures, parsing, numerical optimization, data mining, or parallel, distributed or high-performance computing. Unix/Linux and professional software development experience.Eligibility & Location
Location: on-site in Seattle, WA, 5 days a week. Candidates willing to relocate are welcome, at their own expense. You'd be expected on-site within two weeks of an agreed offer. Former Amazon employees are welcome to apply. Level: mid-to-senior (equivalent to Amazon L5).Why This Role
Ground-floor work on a new science team, shaping how Amazon uses GenAI to reach customers in their own language. Your models run in production at huge scale: millions of pieces of content a day across 130+ locales. Problems that no off-the-shelf model solves, with the data, compute and support of one of the world's largest ML organizations.GCS is acting as an Employment Business in relation to this vacancy.
Read lessUnited States of AmericaContract
Data Scientist, GenAI / LLM About the Program Amazon Translation Services (TS) is the team that makes Amazon's... Read more
Data Scientist, GenAI / LLM
About the Program
Amazon Translation Services (TS) is the team that makes Amazon's content available in every language it sells in. It translates billions of words a year across 130+ locales for developers, product and program managers, and linguists across the company. Its mission is a hands-off-the-wheel translation service: content goes in, accurate translations come out, with minimal human touch and at the lowest possible cost.
You would join a new science team within TS that runs with a start-up mindset. The long-term technical strategy is still taking shape, so there's real room to design GenAI solutions from scratch. The models you build and deploy now will process millions of pieces of content every day.
The Role
This is a hands-on applied science role focused on production work, not pure research. You'll take large language models and multimodal models, fine-tune them for problems that no off-the-shelf model solves, and deploy them at scale with low latency. You'll work alongside software engineers, data scientists, product managers and a dedicated MLOps team.
What you'll do:
Evaluate and select models for incoming text, image and video content. This includes working out whether a piece of content holds a translation opportunity, such as text embedded in an image. Fine-tune models across the full image localization workflow: OCR extraction, grouping text within images, translation, and rendering translated text back onto the image. The work spans many languages and content types. Match model size to the problem. That means choosing the smallest model that does the job well rather than over- or under-engineering it. Find automation opportunities across the translation pipeline (training, sampling, inferencing) and work with the MLOps team to automate repeated manual work. Design and ship production-grade ML solutions that handle millions of pieces of content daily at low latency. Run data analysis to drive recommendations, and explain technical approaches clearly to both technical and non-technical stakeholders.What We're Looking For
Required:
3+ years building machine learning models for real business applications. Hands-on LLM experience that goes beyond prompt engineering: fine-tuning models, adjusting weights and parameters, and working directly with model internals. A solid understanding of how foundation models work under the hood, and the judgment to pick the right model for the problem. Open source or closed models are both fine. Experience building and deploying production-grade models at scale. Strong programming in Python. Java or C++ backgrounds are also welcome. PhD, or Master's degree plus 4+ years of experience in Computer Science, Computer Engineering, Machine Learning or a related field. Comfort with ambiguity and autonomy on an early-stage team, where engineering judgment matters as much as model performance.Nice to have:
Experience hosting and serving your own models. A background in NLP, machine translation, OCR, or multilingual or vision-language models. Patents or publications at top-tier peer-reviewed conferences or journals. Depth in algorithms and data structures, parsing, numerical optimization, data mining, or parallel, distributed or high-performance computing. Unix/Linux and professional software development experience.Eligibility & Location
Location: on-site in Seattle, WA, 5 days a week. Candidates willing to relocate are welcome, at their own expense. You'd be expected on-site within two weeks of an agreed offer. Former Amazon employees are welcome to apply. Level: mid-to-senior (equivalent to Amazon L5).Why This Role
Ground-floor work on a new science team, shaping how Amazon uses GenAI to reach customers in their own language. Your models run in production at huge scale: millions of pieces of content a day across 130+ locales. Problems that no off-the-shelf model solves, with the data, compute and support of one of the world's largest ML organizations.GCS is acting as an Employment Business in relation to this vacancy.
Read lessUnited States of AmericaContract
We Are Hiring: Machine Learning Engineer / Data Scientist (GenAI & LLM)We are currently hiring for a major... Read more
We are currently hiring for a major enterprise client that is building next-generation AI-powered translation solutions used on a global scale. This is an exciting opportunity to join a fast-growing team focused on leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to automate the translation of text, image, and video content across 130+ languages and locales.
If you have hands-on experience fine-tuning LLMs, building production-grade machine learning solutions, and solving complex NLP challenges, we'd love to hear from you.
Project OverviewOur client is developing a highly scalable AI-driven translation platform capable of processing millions of content assets daily with minimal human intervention. The platform analyzes text, images, and videos to identify translation opportunities, extract content using OCR and computer vision technologies, generate high-quality translations, and seamlessly render translated content back into its original format.
The team operates with a start-up mindset and is focused on building innovative GenAI solutions from the ground up. This role offers the opportunity to work on large-scale machine learning systems that directly impact global users and support multilingual experiences across more than 130 locales.
Roles & ResponsibilitiesDesign, develop, and deploy scalable Machine Learning and Generative AI solutions for multilingual translation services.Evaluate, fine-tune, and optimize Large Language Models (LLMs) and NLP models for production environments.Build intelligent systems capable of identifying translation opportunities across text, image, and video content.Develop and enhance OCR and Computer Vision models for text extraction, text detection, and content understanding.Select the most appropriate foundation models based on performance, latency, scalability, and business requirements.Fine-tune machine learning models to improve translation accuracy and overall model performance.Develop and maintain AI pipelines supporting translations across 130+ global languages and locales.Collaborate with Machine Learning Engineers, Software Engineers, Product Managers, Data Scientists, and MLOps teams to deliver production-ready solutions.Identify automation opportunities within the translation lifecycle and help eliminate manual processes.Perform data analysis and experimentation to generate insights and drive technical recommendations.Partner with MLOps teams to automate model training, deployment, monitoring, and inferencing processes.Contribute to the development of high-performance, low-latency AI systems operating at enterprise scale.Apply advanced NLP, Machine Learning, Deep Learning, and Generative AI techniques to solve complex multilingual challenges.Communicate technical solutions, findings, and recommendations to both technical and non-technical stakeholders.Research emerging advancements in LLMs, NLP, Computer Vision, and Generative AI to continuously improve platform capabilities.Support the vision of a fully automated translation ecosystem capable of translating millions of content assets daily with minimal human involvement.Ideal BackgroundHands-on experience fine-tuning and optimizing Large Language Models (LLMs).Strong understanding of how foundation models work beyond prompt engineering.Experience building and deploying production-grade machine learning solutions.Strong background in NLP, Machine Learning, Deep Learning, or Generative AI.Proficiency in Python and experience working within large-scale data and AI environments.Experience evaluating and selecting the right AI/ML models for specific business problems.Familiarity with OCR, Computer Vision, model hosting, and MLOps practices is highly desirable.Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field is preferred.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessSeattle, Washington, United States of AmericaContract
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