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Neural Networks Jobs (NOW HIRING)

AI Researcher

New York, NY · On-site

$175K - $250K/yr

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

Neural networks + tree-based models * Optimization exposure (even classical methods) * Comfortable partnering with engineers Practical, applied mindset * Some AI agent exposure (Databricks flavor is ...

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness. * Utilize your fundamental ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

AI Developer

Mckinney, TX · On-site

$100K - $130K/yr

Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP • Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI • Knowledge ...

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Neural Networks information

What are the most common challenges faced in a Neural Networks role, and how can I prepare for them?

Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.

What is a Neural Networks job?

A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.

What engineers make $500,000?

Senior neural network engineers, especially those with extensive experience, specialized skills in deep learning, and strong backgrounds in machine learning frameworks, can earn salaries of $500,000 or more, often including bonuses and stock options. These roles are typically found in large tech companies, finance, or AI-focused firms and may require advanced degrees and a proven track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or chief AI officers, often requiring advanced skills in neural networks, deep learning, and extensive experience. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are common in large tech companies or specialized AI firms for top-tier talent.

What are the key skills and qualifications needed to thrive in the Neural Networks position, and why are they important?

To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.

What job makes $10,000 a month without a degree?

A neural network engineer or AI specialist can potentially earn $10,000 or more per month through freelance projects, consulting, or working for tech companies, often without a formal degree if they possess strong skills in programming, machine learning, and neural network frameworks. Success in this field typically depends on experience, portfolio, and expertise with tools like TensorFlow or PyTorch, rather than formal education alone.

Which 3 jobs will survive AI?

Neural network specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require advanced skills in programming, statistical analysis, and ethical considerations, making them less susceptible to automation. Continuous learning and specialized knowledge will help professionals in these fields stay relevant.
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Senior IR Spectroscopist

Senior IR Spectroscopist

Kalman & Company, Inc

Addison, TX • On-site

Full-time

Posted 28 days ago


Job description

Senior IR Spectroscopist
Kalman and Company is seeking to hire an IR Spectroscopist. This will be a full-time position with on-site support required in Addison, TX and the Dallas Metro Area. Advanced training, experience, and knowledge in the field of infrared (IR) spectroscopy as demonstrated in the resume by a minimum of an advanced degree in applicable, scientific field.
Responsibilities:
Should have thorough knowledge of spectral systems such as an FTIR interferometer and software (Pattern Recognition) to implement an infrared line scanner (IRLS) unit. The candidate will need to be able to identify infrared spectral signatures of the atmosphere and have a clear understanding of the spectral signatures present in a compound PNNL library.
Requirements:
  • Operations, set-up, calibration, diagnostics, and inventory of IR instrumentation and materials
  • Advise the government client on spectroscopy instrumentation employment and results analysis
  • Conduct spectroscopy analysis, including report generation and presentation to senior leadership
  • Experience using GDAL routines for GIS applications
  • Experience and knowledge in developing GIS routines to support both Google Earth and ESRI data products. This knowledge is used for the implementation into various display products that can be web based or native ESRI tools.
  • Ability to develop training and test sets for application to various AI models

Minimum Requirements:
  • US Citizenship is required
  • Experience with novel IR background suppression using spectral digital filtering and pattern recognition
  • Experience in software trouble shooting airborne communications and networking
  • PhD-Level degree in Chemistry or a physical science and a minimum of 5 years of documented experience in IR spectroscopy techniques

Preferred:
  • Knowledge of software development, including C++
  • Knowledge of ENVI code for development of raster-based applications
  • Knowledge of networking and communication system operating and troubleshooting
  • Experience in FORTRAN software for computational routines, knowledge of interfacing ENVI code with C++ calling routines
  • Knowledge to develop routines for AI software including methods such as multiple discriminant analysis, neural networking, and the use of packages such as AI Google Vertex AI, TensorFlow, deep learning convolutional neural networks (CNN), and recurrent neural networks (RNN)