- UpvoteDownvoteShare Job
- Suggest Revision
Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
InternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. A PhD degree in Machine Learning or Deep Learning is a massive plus.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Optimize deep learning workflows for execution on NVIDIA GPUs using frameworks such as TensorFlow, PyTorch, or MXNet. Proficiency in programming languages such as Python and Julia, and experience with machine learning packages (e.g., PyTorch, TensorFlow, Jax.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
1+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in programming languages such as Python and Julia, and experience with developing large scale models using machine learning packages (e.g., PyTorch, TensorFlow, Jax). Proven track record of research and publications in machine learning, particularly in the areas of diffusion models, generative models, NLP, or related topics.
ExpandApply NowActive JobUpdated 3 days ago - 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. + Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop and implement scalable and reproducible machine learning pipelines for 3D shape quantification on data from microscopy image-based assays. We seek a motivated, knowledgeable, and team-oriented scientist with excellent machine learning knowledge, interested in applying these skills to biology as part of the Computational Cell Science team in the Allen Institute for Cell Science.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct advanced quantitative research, using machine learning (ML) and natural language processing (NLP) techniques to understand patterns in large volumes of data, identify relationships, detect data anomalies and classify data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The SSS will primarily focus on implementing Social Emotional Learning sessions with individual scholars or small groups, and will be responsible for intervening, redirecting, and providing support to scholars facing behavioral challenges.
(student)ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies. Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings.
ExpandApply NowActive JobUpdated Today
learning job Title: entry level Company: Vector Marketing in Seattle, WA
FEATURED BLOG POSTS
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
How to Answer the Interview Question: What is Your Communication Style?
As a job searcher, you probably have so many questions about job searching. However, once you've landed an interview, your excitement takes your questions to a whole new level. What will you wear? Will you know how to answer all the questions? Have you practiced giving nice firm handshakes?