- UpvoteDownvoteShare Job
- Suggest Revision
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Solid understanding of machine learning concepts and recent natural language processing techniques.
InternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience with machine learning (deep learning), and natural language processing (NLP), including popular learning tools and frameworks. Experience in popular deep learning models (, LSTM, CNN, Resnet, Transformer, Large Language Models) and deep tabular learning models (, TabNet, TabTransformer)PREFERRED QUALIFICATIONS:PhD’s degree preferred in Computer Science, Data Science, Biomedical Informatics, a related field citizen or permanent resident preferred.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with deep learning, natural language processing, computer vision, or reinforcement learning. The Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, natural language processing, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
At least 2 years’ experience with natural language processing. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines. As a Senior Data Scientist you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience and demonstratable expertise in your domain areaofcomputer vision (CV), digital forensics, natural language processing (NLP), Artificial Intelligence (AI), Machine Learning ML), and other data science areas like media analytics and cyber.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
At least 2 years of experience working with unstructured data for natural language processing, computer vision, or speech applications. Be an expert in natural language processing (NLP) to harness the power of large language models (LLMs) and large multi-modal models (LMMs.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Natural Language Processing: (Mandatory) Familiarity with pre-trained language models like BERT, GPT, etc. Strong Hold on Data cleaning , SQL queries. Understanding of Core machine learning algorithms and deep learning architectures.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience in building models for time-series, computer vision, and natural language processing is needed. Hands-on experience in building models for time-series, computer vision, and natural language processing is required.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Implementation of Supervised and Unsupervised model development techniquesWhat You Will Bring:Advanced NLP Development: Design, develop, and optimize the Natural Language Processing (NLP) models using state-of-the-art techniques, with a focus on understanding complex language structures, semantics, and context.
Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated experience creating AI and ML models and natural language processing (NLP) models. Artificial Intelligence (AI) / Machine Learning (ML) Modeling - Develop predictive analytics as well as AI and ML models derived from English and non-English language data.
ExpandApply NowActive JobUpdated Yesterday
natural language processing data scientist jobs
FEATURED BLOG POSTS
How to Write a Recommendation Letter for a Student
When a student applies for their first job or for their next academic degree, they don’t have much experience to showcase their skills and personal qualities. Hiring managers and admissions officers, therefore, often look at recommendation letters as a way to go beyond the student’s GPA and learn more about the student’s skills and personal qualities.
How To Answer “Why Do You Want to Be a Supervisor” in an Interview
Anyone who has worked in a supervisor role knows how challenging yet rewarding it is. But chances are if you're trying to become a supervisor, you'll be forced to answer:
What is Career Cushioning?
Is your organization prepared for “career cushioning”?
Growing Discontent: Employees Wouldn't Wish Their Jobs on Their Worst Enemy
The start of a new year, and most people are already busy setting personal and professional goals. What’s on the top of the list for a growing number of working people is making an exit from the job they currently have. Why?
How to Gracefully Quit a Job You Just Started
You’ve just started learning the ropes at your new job, and you've gotten to know your colleagues. But you’re already thinking about quitting. Maybe you were deciding between to job offers and realized that you’ve made the wrong choice. Or, a change in your personal circumstances means that you have to quit.
How to Professionally Reschedule a Job Interview Without Destroying Your Chances
You’ve practiced answering common interview questions and refined your “greatest weakness.’ Nothing can stop you until BAM! The flu hits your household. Or you ran over a nail and popped a tire en route to the interview. When you need to pivot, there’s a good, better, and best way to reschedule a job interview. Here’s how to do it professionally, so you can nail the gig when the timing is right.
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.