- UpvoteDownvoteShare Job
- Suggest Revision
OverviewTransaction Network Services (TNS), a subsidiary of Koch Industries, is seeking a skilled Senior Data Scientist to join our AI Labs. This role involves analyzing complex datasets, developing statistical and deep learning models, and implementing advanced machine learning solutions.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Excellent understanding of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Strong expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling techniques. Senior Data Scientist / Credit Risk, Global Risk Decision Science.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In this role you will leverage your expertise in image and video processing, ML, and deep learning and work with peers in the science, engineering and product teams to improve the quality of personalized recommendations and search across SiriusXM and Pandora products.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Geospatial Analytics and Machine Leaning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Deep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems. Working with an interdisciplinary team to research and develop deep learning solutions that create and augment meshes and textures in our avatar ecosystem.
$35 - $50 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Nimble is looking for a Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
PhD or Master’s degree in Computer Science, AI, or a closely related field, with a specialization in Machine Learning, Deep Learning, or NLP. We are seeking a Machine Learning Scientist to join our advanced research team focused on Natural Language Processing and Conversational AI. This role is ideal for those with a passion for pioneering new models, architectures, and approaches to solve complex business problems.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
$24.8 - $57.69 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
PNNL's Artificial Intelligence and Data Analytics Division, part of the National Security Directorate, is committed to advancing the state of the art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors' missions.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our Pittsburgh Supercomputing Center (PSC) within MCS is seeking a Machine Learning Research Scientist. Proficiency with one or more deep learning frameworks and environments: TensorFlow, Caffe2, PyTorch, Anaconda, etc.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Are you excited about working on large scale Generative AI, Natural Language Processing (NLP), and Deep Learning? 3+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval.
ExpandApply NowActive JobUpdated 7 days ago
deep learning scientist jobs
FEATURED BLOG POSTS
How to Write a Follow-Up Email for a Job Application?
Most times, we have to do more than submit a "sugar-coated" resume to land our dream jobs. Going the extra mile to follow up on your job application can increase your chances of employment. Additionally, it may even help you get confirmation sooner on whether you are seriously being considered for the job or not.
How to Hire Remote Workers
Remote work used to be a thing of the future. However, with social, economic, and cultural events taking place across the country, it has now evolved into something that both job searchers AND companies are benefiting from. Remote work is multifaceted and can come in handy in a variety of situations. So, to help your small business take advantage of all of remote work's benefits, here is a short guide on how to hire remote workers.
How to Address a Cover Letter With Examples
It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
What is Seasonal Employment?
Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.