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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The team works at the intersection of large language models and traditional deep learning, building Artificial Intelligence models on large scale structured and unstructured data.
$208,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This Data Scientist will be responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business by applying AI/ML/DL methods and algorithms across retail areas such as forecasting, Membership and Marketing, supply chain cost optimization, and inventory management.
$192,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Research and implement novel machine and deep learning approaches for Drug Discovery multimodal data, including various "omics" (transcriptomics, proteomics, etc.) You will research, design, develop, and apply new AI/ML solutions for drug discovery and development, where you will lead the progress, validation, and interpretation of deep learning and GenAI-based pipelines for therapeutic modalities ranging from small molecules to biologics and nucleic acids.
$218,625 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Siri Information Intelligence Team at Apple is actively seeking a top-tier Senior Machine Learning Engineer to contribute to our bold mission of crafting the ultimate conversational experience within Siri. In this role, you'll have the great opportunity to harness powerful artificial intelligence technologies on premier platforms, ensuring that Apple's devices seamlessly integrate into users' everyday lives.
$250,600 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Academic and commercial groups around the world are powering a revolution in AI using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology.
$230,369 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution on CNN, LLM and multimodal models. Experience in building deep learning models for mobile or ultra lower power systems.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch. 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.
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Hands-on experience with data structure algorithms, machine learning models such as sales forecasting, classification task, deep learning etc., and proven experience of implementing business projects and launching product features.
InternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras. Use state-of-the-art machine learning, deep learning, and data mining techniques to develop proof-of-concept predictive models.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Optimize deep learning workflows for execution on NVIDIA GPUs using frameworks such as TensorFlow, PyTorch, or MXNet. We are building our core AI Weather Lab team to explore creative applications of AI methods to challenges in the renewable energy industry To lead our efforts in developing industry-leading AI models, we are seeking an experienced and visionary Senior Research Engineer with deep expertise in leveraging NVIDIA GPUs for advanced machine learning applications.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Position Summary: Encompassing multiple domains across machine learning, engineering, and natural sciences, Research is committed to empowering real-world impact on some of the most pressing problems facing society including climate change, green energy, and sustainable materials.
$54 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$55 an hourExpandApply NowActive JobUpdated 21 days ago
deep learning on finance jobs Company: Apple in Bellevue, WA
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.