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Rnn Jobs (NOW HIRING)

Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest * Distributed ...

Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest * Distributed ...

Working familiarity with deep learning algorithms (CNN, RNN, Transformers) and frameworks (TensorFlow, PyTorch).Working familiarity with causal inference models and techniques.Hands-on experience ...

Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc. * Expertise ...

Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian approaches, conformal ...

We are seeking a Registered Nurse (RNN) in Hillsborough, NJ. The RN delivers care to individuals in a community setting utilizing the nursing process of assessment, planning, intervention ...

AI Engineer Associate

Belmont, CA · On-site

$120K - $135K/yr

Knowledge of CNNs, RNN, LSTMs and the latest research trends * Specification/Documentation of interfaces between software modules. * Graphical Models * Object Detection, Scene Understanding

Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc. * Expertise ...

Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian approaches, conformal ...

Applied AI Scientist

Culver City, CA · On-site +1

$171K - $302K/yr

Working familiarity with deep learning algorithms (CNN, RNN, Transformers) and frameworks (TensorFlow, PyTorch). Working familiarity with causal inference models and techniques. Hands-on experience ...

Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc. * Expertise ...

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Rnn information

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$8

$46

$84

How much do rnn jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for rnn in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $67.31 per hour, depending on experience, location, and employer.

What are RNNs?

Recurrent Neural Networks (RNNs) are a type of artificial neural network designed to recognize patterns in sequences of data, such as time series, text, or speech. Unlike traditional neural networks, RNNs have loops that allow information to persist, making them well-suited for tasks where context and order are important. They are widely used in applications like language modeling, machine translation, and speech recognition. However, RNNs can struggle with long-term dependencies due to issues like vanishing gradients, which has led to the development of advanced architectures like LSTM and GRU.

What are some typical challenges faced by professionals working with Recurrent Neural Networks (RNNs) in real-world projects?

One common challenge for professionals working with RNNs is managing issues related to vanishing and exploding gradients, which can make training deep RNNs difficult. Additionally, handling long sequences and ensuring the model captures long-term dependencies often requires careful architecture choices or enhancements like LSTM or GRU units. Real-world data can also be noisy and require significant preprocessing. Collaboration with data engineers and domain experts is essential to ensure data quality and relevance for model training.

What is the difference between Rnn vs Data Scientist?

AspectRnnData Scientist
Required CredentialsDegree in Computer Science, Machine Learning, or related fields; knowledge of neural networksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness environments, consulting firms, tech companies
Industry UsageAI, Machine Learning, Deep Learning projectsData analysis, predictive modeling, business insights

Rnn (Recurrent Neural Network) specialists focus on developing neural network models for sequence data, often within AI and machine learning projects. Data Scientists analyze data to extract insights and build predictive models across various industries. While both roles require technical skills, Rnn experts are more specialized in neural network architectures, whereas Data Scientists have broader analytical expertise.

What are the key skills and qualifications needed to thrive as an RNN (Recurrent Neural Network) Engineer, and why are they important?

To thrive as an RNN Engineer, you need a strong background in machine learning, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Proficiency with Python, TensorFlow, PyTorch, and relevant ML frameworks, along with experience in sequence modeling, is essential. Analytical thinking, problem-solving skills, and effective collaboration make someone stand out in this position. These skills ensure the successful design and deployment of robust RNN models for tasks like language processing and time-series forecasting.

Is RNN Group a good company to work for?

RNN Group is a social housing provider and not a typical employer for job roles like RNN. If you are referring to a specific job role, such as a Recurrent Neural Network (RNN) developer, the job environment depends on the employer and industry standards. It's advisable to research the specific company or role for detailed insights.
More about Rnn jobs
What cities are hiring for Rnn jobs? Cities with the most Rnn job openings:
What states have the most Rnn jobs? States with the most job openings for Rnn jobs include:
Infographic showing various Rnn job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, 2% Temporary, and 2% Contract. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $96,996 per year, or $46.6 per hour.
Data Science

Full-time

Posted 18 days ago


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)