- 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 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Minimum Experience: 2 years of industry experience in dedicated machine learning or data engineering roles, or equivalent to a Master’s degree with strong emphasis in Machine learning.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience processing rich sensor data from LIDAR, RADAR, and cameras in environments captured by autononous vehicles. Python, and Matlab-Simulink and have developed software from architecture to production-level code in software, machine learning, and perception environments.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
Full-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and scientific conferences.
$94,764 - $161,096 a yearFull-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow) Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
$139,700 - $247,300 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
$159,650 - $175,615 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
ExpandUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge and ability to use the following computer applications: Tableau, Power BI, ArcMap/ArcPro, ArcGIS Online, Adobe InDesign, and other data processing, visualization, and design tools.
Full-timeExpandApply NowActive JobUpdated Yesterday
search data machine learning natural language processing tensorflow jobs in Los Angeles, CA
FEATURED BLOG POSTS
5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
How to Get a W2 From Previous Employers
When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
How to Ask Someone to be a Reference + Email Templates
One part of the job-hunting process that frequently gets overlooked is putting together a list of good references. Most of the time we focus on creating the perfect resume, writing an awesome cover letter, and getting our hands on letters of recommendation. We think about what outfit we’ll wear to the job interview, how we’ll answer those tricky questions, and what our career plan looks like. But, in fact, having multiple references lined up who will speak favorably about you to a potential employer is critical to landing a job. This aspect of job searching really can’t be ignored.
Job Rejection Email Response with Examples
Glassdoor estimates that, on average, there are about 250 applicants for every job vacancy out there. If you’ve ever applied for a job, the odds are that you’ve received the dreaded job rejection email.
Structured vs Unstructured Interviews
The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?
4 Ways to Make Your Job Posting More Inclusive
According to a Glassdoor survey,