- UpvoteDownvoteShare Job
- Suggest Revision
The "data science" tasks may include statistical analyses, knowledge discovery, data mining, machine learning, and predictive modeling. Mastery of statistics, machine learning, algorithms, predictive modeling, and advanced mathematics.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will contribute and conduct research on topics related to machine learning, data analytics, and thermal resilience modeling. Contribute to machine learning and AI related projects, e.g., district load prediction, digital twin.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , Unspecified. 3+ years of work/educational experience in Artificial Intelligence/Machine Learning.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate with wildlife ecologists and other natural resource specialists, statisticians, and data scientists to identify machine learning modeling approaches suitable for a variety of environmental consulting applications.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a candidate for Research Scientist working in the area of mechanical metamaterials, graded materials, generative design using AI and machine learning, and dynamics and impact of microstructured media, and who has experience with high fidelity direct numerical simulation as well as reduced order modeling of dynamics of structures and acoustics and ultrasonic experimentation and sensing.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Invent, implement and deploy state-of-the-art machine learning models, algorithms and systems as part of the OCI Speech team. Is very experienced with Machine Learning and Deep Learning models and frameworks.
ExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will lead cutting edge research and development of NLU (transformer and otherwise) models and analytical solutions in machine learning (ML) that can be used for multi-task detection, intent classification, named entity recognition, etc.
ExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with advanced analytics techniques such as machine learning or predictive modeling. You thrive in an environment where collaboration and continuous learning are key.
ExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
THIS ROLE WILL HAVE THE FOLLOWING RESPONSIBILITIES: - Analyzing search ranking and relevance requirements issues and opportunities - Utilizing PyTorch and proprietary tools for training deep learning models - Understanding product requirements then translating them into modeling tasks and engineering tasks - Building machine-learned models for query understanding and search ranking - Develop and maintain large scale indexing and ML data pipelines.
Full-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Unsupervised machine learning, clustering, ensemble methods, etc.) Machine Learning: Build predictive models; propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems (e.g. supervised vs.
Full-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
ExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Research areas may include Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields. 5+ years industry experience in Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.
$177,008 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Comprehensive Analytics Leadership: Develop and implement advanced predictive analytics and machine learning models to optimize supply chain performance, with a special emphasis on labor expense management.
ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate will have expertise in Python, bash scripting, ELK, API calls, Ghostmachine, Splunk, Linux, and Nifi. As a Data Scientist, you must have a strong understanding of statistical modeling, machine learning, and data visualization techniques.
ExpandApply NowActive JobUpdated 1 days ago - 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.
ExpandApply NowActive JobUpdated 0 days ago
modeling machine learning jobs
FEATURED BLOG POSTS
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.
How Does Salary Range Work (With Examples)
What are your salary expectations? Do you know? Establishing a salary that compensates you fairly and keeps you happy at work can feel like taking a shot in the dark. And employers sure don’t make learning budgets easy!
Guide to Hiring a Teenager
Teenagers are full of life. They bring energy and adaptability that may be hard to get from older workers, but does that mean that hiring teens is beneficial? Well, it depends. As you debate whether or not you should integrate teenagers into your workforce, there are some things that you should know first.
How to Re-apply for Your Old Job Professionally
Have you recently started a new job only to find that you miss your old one? Maybe you didn’t realize how good you had it, and now you regret leaving. Don’t worry. You’re not the first person to feel this way, and you might even be able to return to your old job if you play your cards right.