... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
Should be proficient with Artificial Neural Networks, Random forest. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and ...
Quick apply
Should be proficient with Artificial Neural Networks, Random forest. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
AI ML Data Scientist
Cary, NC · On-site
$100K - $120K/yr
... Neural Networks, -Database • SQL, Advance SQL, Oracle, NoSQL -Data Science Languages • SAS, SAS Enterprise Miner, R Programming, • Python, Spark. Statistical & Data Management Packages • ...
AI ML Data Scientist
Cary, NC · On-site
$100K - $120K/yr
... Neural Networks, -Database • SQL, Advance SQL, Oracle, NoSQL -Data Science Languages • SAS, SAS Enterprise Miner, R Programming, • Python, Spark. Statistical & Data Management Packages • ...
Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...
Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...
AI ML Data Scientist
Cary, NC · On-site
... Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) • Strong ...
AI ML Data Scientist
Cary, NC · On-site
... Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) • Strong ...
Senior AI/ML C++ software engineer
$104K - $138K/yr
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Quick apply
Senior AI/ML C++ software engineer
$104K - $138K/yr
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Data Scientist
Pleasanton, CA · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced ...
Data Scientist
Pleasanton, CA · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced ...
Postdoctoral Associate - Specialist
Houston, TX · On-site
$70K - $73K/yr
Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...
Postdoctoral Associate - Specialist
Houston, TX · On-site
$70K - $73K/yr
Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Senior AI/ML C++ software engineer
Lexington, SC · On-site
$104K - $138K/yr
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization). Education:Bachelor LevelEmployment Type: FULL_TIME
Senior AI/ML C++ software engineer
Lexington, SC · On-site
$104K - $138K/yr
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization). Education:Bachelor LevelEmployment Type: FULL_TIME
Physics-Informed Neural Networks (PINNs) Biology-Informed Neural Networks (BINNs) / Visible Neural Networks (VNNs) Neural Ordinary/Partial Differential Equations (Neural ODEs/PDEs) Operator learning ...
Physics-Informed Neural Networks (PINNs) Biology-Informed Neural Networks (BINNs) / Visible Neural Networks (VNNs) Neural Ordinary/Partial Differential Equations (Neural ODEs/PDEs) Operator learning ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Description Design and train deep neural networks for video, image, audio, and audio-visual tasks. Build models for audio-visual representation learning, cross-modal alignment, and fusion. Develop ...
Description Design and train deep neural networks for video, image, audio, and audio-visual tasks. Build models for audio-visual representation learning, cross-modal alignment, and fusion. Develop ...
We're looking for talent in data science, AI, neural networks, natural language processing, and algorithm development who are interested in working full-time with our company in Santa Monica.
Quick apply
We're looking for talent in data science, AI, neural networks, natural language processing, and algorithm development who are interested in working full-time with our company in Santa Monica.
Senior Machine Learning Engineer
Houston, TX · On-site
$99K - $137K/yr
Deep Neural Networks (DNN): * Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers. * Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error ...
Quick apply
Senior Machine Learning Engineer
Houston, TX · On-site
$99K - $137K/yr
Deep Neural Networks (DNN): * Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers. * Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
... neural networks. • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks. • Build and support NVIDIA submissions to the ...
... neural networks. • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks. • Build and support NVIDIA submissions to the ...
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
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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SpaceX rating
8.7
Based on 144 frontline employees who took The Breakroom Quiz
14th of 60 rated aerospace companies
Job description
Job Summary:
SpaceX is actively developing technologies to enable human life on Mars. As a software engineer on the NDE & Materials Software team, you will develop and advance the in-house multiphysics simulation engine to optimize manufacturing processes and increase part yield.
Responsibilities:
• Own software architecture and quality of simulation software used across SpaceX.
• Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to transitioning results viewing to web-based 3D tooling.
• Build advanced interfaces for viewing and interpreting simulation results.
• Troubleshoot and debug issues related to software integration, meshing quality, and simulation accuracy.
• 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, reduce inspection burden, and optimize parts.
• Collaborate with cross-functional teams to implement new features and automate processes.
• Conduct testing and validation of simulation results using industry-standard benchmarks.
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 5+ years of professional experience building software in lieu of a degree.
• 2+ years of software development experience.
• 2+ years of strong C++ software engineering experience.
• 1+ years of experience leveraging Python for data analysis.
• Ability to work extended hours and weekends as necessary.
• Ability to travel to other SpaceX sites as needed (up to 20%).
Preferred:
• Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM, ANSYS Fluent, COMSOL Multiphysics).
• Strong meshing skills for complex simulations (e.g., tools like NX, ANSYS Meshing, SnappyHexMesh).
• Demonstrated experience applying machine learning and AI solutions (e.g., surrogate modeling, physics-informed neural networks, Fourier neural operators, neural operators, graph neural networks etc) to accelerate simulations.
• Experience with visualization tools (ParaView, VisIt, Tecplot) and web-based 3D tooling (e.g., Three.js).
• Experience with web development frameworks such as Flask, SQLAlchemy, and FastAPI.
• Front-end experience in React or similar JavaScript UI frameworks.
• Database experience with PostgreSQL, SQL Server, or similar database technologies.
• Good understanding of version control, testing, continuous integration, build, deployment, and monitoring.
• Strong Linux experience.
• Knowledge of high-performance computing (HPC) environments and parallel processing.
• Strong problem-solving abilities and attention to detail for optimizing simulation efficiency.
• Excellent communication skills for documenting code and collaborating in team settings.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
SpaceX is actively developing technologies to enable human life on Mars. As a software engineer on the NDE & Materials Software team, you will develop and advance the in-house multiphysics simulation engine to optimize manufacturing processes and increase part yield.
Responsibilities:
• Own software architecture and quality of simulation software used across SpaceX.
• Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to transitioning results viewing to web-based 3D tooling.
• Build advanced interfaces for viewing and interpreting simulation results.
• Troubleshoot and debug issues related to software integration, meshing quality, and simulation accuracy.
• 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, reduce inspection burden, and optimize parts.
• Collaborate with cross-functional teams to implement new features and automate processes.
• Conduct testing and validation of simulation results using industry-standard benchmarks.
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 5+ years of professional experience building software in lieu of a degree.
• 2+ years of software development experience.
• 2+ years of strong C++ software engineering experience.
• 1+ years of experience leveraging Python for data analysis.
• Ability to work extended hours and weekends as necessary.
• Ability to travel to other SpaceX sites as needed (up to 20%).
Preferred:
• Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM, ANSYS Fluent, COMSOL Multiphysics).
• Strong meshing skills for complex simulations (e.g., tools like NX, ANSYS Meshing, SnappyHexMesh).
• Demonstrated experience applying machine learning and AI solutions (e.g., surrogate modeling, physics-informed neural networks, Fourier neural operators, neural operators, graph neural networks etc) to accelerate simulations.
• Experience with visualization tools (ParaView, VisIt, Tecplot) and web-based 3D tooling (e.g., Three.js).
• Experience with web development frameworks such as Flask, SQLAlchemy, and FastAPI.
• Front-end experience in React or similar JavaScript UI frameworks.
• Database experience with PostgreSQL, SQL Server, or similar database technologies.
• Good understanding of version control, testing, continuous integration, build, deployment, and monitoring.
• Strong Linux experience.
• Knowledge of high-performance computing (HPC) environments and parallel processing.
• Strong problem-solving abilities and attention to detail for optimizing simulation efficiency.
• Excellent communication skills for documenting code and collaborating in team settings.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About SpaceX
Sourced by ZipRecruiter
Industry
Accounting services
Company size
1,001 - 5,000 Employees
Headquarters location
Hawthorne, CA, US
Year founded
2002