- UpvoteDownvoteShare Job
- Suggest Revision
They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply various Machine Learning technologies (Deep Learning - Natural Language Processing, Autoencoder; Traditional Machine Learning - Isolation Forest, Decision Tree, Random Forest, XGBoost, & LightGBM, advanced analytics (Python, SQL, and AWS) and visualization techniques to extract and analyze various datasets across the company.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You thrive on building data solutions and analytics tools, drawing actionable conclusions and digging deeper to uncover trends that will improve our machine learning systems. You will be joining a dedicated team of Data Scientists, Data Analysts, Machine Learning Engineers and Data Engineers responsible for the development of ML and Deep Learning models, novel performance metrics, and the creation of data models and pipelines that fuel that effort.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Knowledge of text mining or machine learning techniques. Experience developing machine learning models using DataRobot's automated platform.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Artificial Intelligence/Machine Learning (AI/ML) applications for image processing. Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Applied experience in independently building machine learning models using popular ML/DL frameworks like scikit-learn, SparkML, nltk, Caffe 2, Keras, Tensorflow etc. Demonstrated experience with data mining, machine learning, data science and data interpretation techniques.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will design and develop and train complex machine learning models. Familiar with all components in the training of ML model, including data loader, backbone search, choice of regressors/objectives/optimizers, hyperparameter search, model finetune, model quantization/optimization/format conversion.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Artificial Intelligence, Machine Learning, Cybersecurity, Data Security, Security Analytics, Network Security, Identity and Access Management, IT Risk Management, Behavioral Analytics.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our tenet is to build a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Machine Learning Software Engineer II to join the Delivery Accuracy team within the Fulfillment initiative. You and your team will own the full cycle of fulfillment-related Machine Learning infrastructure and model development: devising, training, testing, releasing, observing, and optimizing.
ExpandApply NowActive JobUpdated Today
search data machine learning language processing tensorflow jobs in Torrance, CA
FEATURED BLOG POSTS
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
5 Ways to Stretch Your Hiring Budget
Many businesses across the country have adjusted business operations to make it through the pandemic. After a period of hardship, many business owners, like yourself, are ready to start recruiting and rebuilding a bigger, more skilled workforce - only now you have to do it with a smaller hiring budget.
How to Ask for a Raise at Work
Here we go again; it’s time to talk money. Whether you’re one year in at a new company or approaching year five on the same team, learning how to ask for a raise should be part of your long-term career plan. These conversations are rarely fun (thanks to society, which has conditioned us to believe that money is taboo), but they are necessary if you want to, well, get paid what you’re worth. Trust us, there’s a lot of money on the table for taking. Below, we’ll discuss tips on timing, approach, and follow-up.
How to Maximize Action Verbs in Your Resume
Writing a resume that stands out takes more than using keywords and savvy formatting. It’s not just about having an impressive list of accomplishments. It’s also about how you position them using action verbs and deliberate word choice. So if you are looking for a way to craft a resume that stands out and gets calls back? Start by sprucing up your resume with captivating action verbs.
What is Your Desired Job Title?
You’ve decided to look for a new job. So now comes the question — what is your desired job title? There are lots of considerations to think through when deciding on the right title for your next role.
4 Things to Consider When Building a Global Workforce
The rise of remote work has given employers a unique chance to rethink how they approach workforce management. This ranges from rethinking the size and design of their office space to updating their tech stack to accommodate different working styles. It has created new opportunities for companies of all sizes to expand their hiring pool and look for top talent on a global scale.