Interested in building the next generation of financial systems capable of handling billions of dollars in transactions? Eager to develop highly scalable systems utilizing Amazon Cloud? Our challenge is to deliver software that accurately captures, processes, and reports on massive volumes of financial transactions generated daily by millions of customers, vendors, partners, and across various jurisdictions worldwide.
Key job responsibilities
1. Design, develop, and evaluate innovative models for Natural Language Programming (NLP), Large Language Models (LLM), or Large Computer Vision Models.
2. Use Python, Jupyter Notebook, and PyTorch to develop scalable machine learning solutions for business problems.
3. Research and implement novel machine learning and statistical approaches.
4. Mentor interns.
5. Collaborate with data and software engineering teams to build and deploy models at large scale.
BASIC QUALIFICATIONS
* 2+ years experience building models for business applications.
* Patents or publications at top-tier conferences or journals.
* Proficiency in Java, C++, Python, or related languages.
* Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed/high-performance computing.
* Experience with deep learning frameworks like MxNet and TensorFlow.
PREFERRED QUALIFICATIONS
* Experience developing machine learning models for business applications.
* Experience in speech recognition, machine translation, or natural language processing systems.
* Experience with computer vision algorithms.
* PhD in computer science, machine learning, engineering, or related fields.
We promote an inclusive culture that empowers Amazon employees to deliver exceptional results. If you require workplace accommodations during the application or onboarding process, please visit this link. For regional inquiries, contact your Recruiting Partner.
#J-18808-Ljbffr