- UpvoteDownvoteShare Job
- Suggest Revision
Skills Required: Requires experience in the following: Natural Language Processing (NLP) in a commercial environment; programming expertise in Python; Agile development paradigm; machine learning APIs and computational packages including Scikit-Learn, NumPy, SciPy, and Pandas; neural network packages such as PyTorch or TensorFlow; and development in Amazon Web Services (AWS) environments.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We at Mr. Appliance® are looking for qualified professionals to join our team.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our group provides break-through AI solutions within legal, tax andernment domains partnering with product managers, software engineers and subject matter experts using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques.
$250,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Google Cloud High Performance Computing (HPC) Machine Learning (ML) Networking is responsible for innovations and optimizations of the networking stack to make Machine Learning High Performance Computing (HPC) workload performant on Google Cloud Platform (GCP) and in Google production.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
A prestigious global hedge fund is hiring a senior quantitative researcher to join a growing trading team on a number projects in machine learning, deep learning, and NLP. Research, develop and implement trading models using scientific methods and techniques including machine learning, deep learning, and NLP.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in Python and relevant Machine Learning libraries (e.g., Transformer, TensorFlow, PyTorch Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing. Minimum 15+ years of experience in technology, with at least 10 within ML/AI. A strong background in Machine Learning, Deep Learning, and natural language processing.
Part-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Immediately hiring a Permanent Full Time Warehouse Machine Operator to support our Facility at Ryder in Secaucus, New Jersey. Immediately hiring a Permanent Full Time Warehouse Machine Operator to support our Facility at Ryder in Secaucus, New Jersey.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Responsible for the accurate picking and packing, auditing, tote induction, staging of products and loading and unloading of trucks. Perform warehouse function, which may include loading, picking, packing, shipping, receiving, forklift operation, and, cycle counting.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Product Manager Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Senior Machine Learning Engineer (Python, PySpark, SQL) You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
Part-timeExpandApply NowActive JobUpdated Today
Title: machine Company: Metro Staffing Service in New York, NY
FEATURED BLOG POSTS
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?
Hiring Again After Mass Layoffs
It's never an easy decision to let members of your staff go, but depending on the state of your business, mass layoffs may have been the only way to survive. Now that you're months into the future, you may find yourself itching to start hiring again after previous layoffs.