- UpvoteDownvoteShare Job
- Suggest Revision
Experience with natural language processing, text mining, or machine learning techniques. As a data scientist leader, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a biologist with a strong understanding of therapeutic discovery and machine learning – particularly natural language processing (NLP) and large language models (LLMs) – to help guide and implement internal strategy for leveraging and developing such platforms.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Lead Data Science and Machine Learning (ML) executes Ontada’s technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
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.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Oracle Senior Principal Speech Scientist Lincoln , Nebraska Apply Now Invent, implement and deploy state-of-the-art machine learning models, algorithms and systems as part of the OCI Speech team.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBM’s), XGBoost, baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.
$80,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with development of machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent.
$136,000Full-timeExpandApply NowActive JobUpdated 4 days ago
scientist machine learning natural language processing jobs
FEATURED BLOG POSTS
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
How to Write a Statement of Interest the Best Way
Your life's goal is to work for Company A. Their brand, their product, their reputation—it's safe to say you're a fan. The only problem is that their careers page never highlights the role that matches your skills and experience. It's a bummer for sure, but don't fret.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?
Why Work in Sales? 9 Reasons & Tips on Answering as an Interview Question!
Working in sales can be demanding and challenging, but it can also be gratifying. Sales is an excellent career with a clear path full of excitement and potential for growth. So, if you're contemplating careers and have wondered "why work in sales?", keep reading to determine if sales is a suitable role for you.
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.