- UpvoteDownvoteShare Job
- Suggest Revision
We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. + Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience working in multimedia tools to include Articulate Storyline and Rise, and Adobe Creative Suite to create e-learning solutions. Advanced knowledge and capabilities to develop sophisticated learning interactions and visual elements within Articulate Storyline Demo simulation.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient programming skills in Python and hands-on experience with at least one of the primary deep learning toolkits, such as JAX, PyTorch, or Tensorflow. We collaborate with outstanding engineers and researches to solve some of the most ambitious problems: AI-Generated Financial Optionality, Foundation Models for demand forecasting, Reinforcement Learning with knowledge distillation, and Explainable Deep Learning.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Team members have rich backgrounds covering NLP, CV, multimodality, graph computing, search and recommendatoin, federated learning and other fields, and have published more than 100 top-tier conference papers.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. Knowledge of modern deep learning and natural language processing techniques.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Golang, Python;•Experience contributing to the large scale systems, multi-tenant systems (architecture, reliability and scaling);•Experience contributing to GPU architecture, GPU cluster;•Familiar with Kubernetes / Kubeflow / YARN / Mesos orchestrations;•Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);•Familiar with the front-end and back-end technologies, such as Django / Flask / NodeJS / React, etc.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Deep knowledge of machine learning, both theory and application. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The purpose of the Associate Architectural Project Manager (AKA Associate Architectural Sales Consultant) is to develop top candidates who are interested in a career in outside sales with Marvin.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Previous experience in areas like computer-aided design, statistical testing, modeling and mathematical optimization, and/or machine learning.
$123,191 - $161,289 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
deep learning top tier jobs Company: Amazon in Seattle, Dothan, Alabama
FEATURED BLOG POSTS
Why is Networking Important & How to Network Effectively
Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.