Deep learning and neural networks * NLP and computer vision solutions * Retrieval-Augmented Generation (RAG) systems * Agentic AI frameworks and multi-agent orchestration systems * Strong proficiency ...
Deep learning and neural networks * NLP and computer vision solutions * Retrieval-Augmented Generation (RAG) systems * Agentic AI frameworks and multi-agent orchestration systems * Strong proficiency ...
Research Scientist, Interpretability
San Francisco, CA · On-site +1
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 ...
Research Scientist, Interpretability
San Francisco, CA · On-site +1
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 ...
Senior Applied ML Researcher - Video Apps
Cupertino, CA · On-site
$185.10K/yr
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 solutions for ...
Senior Applied ML Researcher - Video Apps
Cupertino, CA · On-site
$185.10K/yr
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 solutions for ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
Senior IR Spectroscopist
Addison, TX · On-site
... neural networks (RNN)
Senior Machine Learning Engineer
Houston, TX · On-site
$99.80K - $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
$99.80K - $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 ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
ML Researcher, Autonomous Security
$139.50K - $258.10K/yr
You will be responsible for developing and evaluating iterative embedding techniques using sequential neural networks (e.g., RNNs, GRUs) that can process entire provenance graphs while consuming a ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
... neural networks (RNN)
Overseas Contractor
Tampa, FL · On-site
... neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business requirements and ...
Overseas Contractor
Tampa, FL · On-site
... neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business requirements and ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Data Scientist
New York, NY · Remote
Neural networks + tree-based models * Optimization exposure (even classical methods) * Comfortable partnering with engineers Practical, applied mindset * Some AI agent exposure (Databricks flavor is ...
Quick apply
Data Scientist
New York, NY · Remote
Neural networks + tree-based models * Optimization exposure (even classical methods) * Comfortable partnering with engineers Practical, applied mindset * Some AI agent exposure (Databricks flavor is ...
AI Researcher - Vatic Labs
$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
$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
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
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 ...
Senior Software Engineer, Machine Learning
Santa Monica, CA · Remote
$140K - $225K/yr
Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices * Experience with machine learning algorithms and ...
Senior Software Engineer, Machine Learning
Santa Monica, CA · Remote
$140K - $225K/yr
Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices * Experience with machine learning algorithms and ...
Experience with python programming and machine learning frameworks for neural networks such as PyTorch or JAX/Flax * Strong track record of peer-reviewed publications within computer science, data ...
Experience with python programming and machine learning frameworks for neural networks such as PyTorch or JAX/Flax * Strong track record of peer-reviewed publications within computer science, data ...
Machine Learning Engineer
South San Francisco, CA · 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 ...
Machine Learning Engineer
South San Francisco, CA · 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 ...
Neural Networks information
See salary details
$30K - $45.5K
11% of jobs
$45.5K - $61K
3% of jobs
$61K - $76.5K
3% of jobs
$76.5K - $92K
2% of jobs
$92K - $107.5K
4% of jobs
$110.5K is the 25th percentile. Wages below this are outliers.
$107.5K - $123K
9% of jobs
The median wage is $137.2K / yr.
$123K - $138.5K
19% of jobs
$138.5K - $154K
15% of jobs
$164.7K is the 75th percentile. Wages above this are outliers.
$154K - $169.5K
13% of jobs
$169.5K - $185K
11% of jobs
$185K - $200.5K
11% of jobs
$30K
$132.4K
$200.5K
How much do neural networks jobs pay per year?
As of May 30, 2026, the average yearly pay for neural networks in the United States is $132,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $168,000.00 per year, depending on experience, location, and employer.
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 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 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.
More about Neural Networks jobs
- What are the key skills and qualifications needed to thrive in the Neural Networks position and why are they important?
- What are the most common challenges faced in a Neural Networks role and how can I prepare for them?
- What is a Neural Networks job?
- The 10 Top Types Of Neural Networks Jobs
- The 5 Best Types of Neural Networks in 2026
What cities are hiring for Neural Networks jobs? Cities with the most Neural Networks job openings:
What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
What states have the most Neural Networks jobs? States with the most job openings for Neural Networks jobs include:
What job categories do people searching Neural Networks jobs look for? The top searched job categories for Neural Networks jobs are:
Job description
Strategic Thinking & Leadership
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Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
-
Define and communicate AI product vision, roadmaps, and measurable success metrics.
-
Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
-
Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.
-
Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.
Technical Leadership & Expertise
-
Architect and oversee end-to-end AI/ML and GenAI systems, including:
-
Predictive analytics models
-
Deep learning and neural networks
-
NLP and computer vision solutions
-
Retrieval-Augmented Generation (RAG) systems
-
Agentic AI frameworks and multi-agent orchestration systems
-
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Strong proficiency in Google Cloud Platform (GCP) services for AI/ML (Vertex AI, BigQuery, Dataflow, Cloud Storage)
-
Deep expertise in machine learning algorithms including ensemble methods, neural networks, regression models, simulation and optimization techniques, NLP, and image processing
-
Experience building AI systems using TensorFlow, PyTorch, Keras, and Python-based ecosystems
-
Experience with LLMs, foundation models, prompt engineering, fine-tuning, and evaluation pipelines
-
Implement scalable MLOps and LLMOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining
-
Proficiency in Git, Docker, API-based deployments, and scalable cloud AI services
-
Apply strong software engineering practices within AI systems including testing, modular design, observability, and documentation
-
Drive research and innovation in advanced AI techniques to enhance enterprise capabilities
-
Support architectural reviews and ensure best practices across AI systems
-
Implement Responsible AI principles including governance, model explainability, fairness, and ethical AI compliance
Delivery Focus
-
Own end-to-end AI product delivery in partnership with Product, Engineering, and Data teams.
-
Ensure production-grade deployment of AI models using containerization (Docker), orchestration, and scalable cloud infrastructure.
-
Influence investment decisions using measurable impact metrics and ROI analysis.
-
Establish monitoring frameworks for model drift, performance degradation, and system reliability.
Team Development & Community Leadership
-
Lead and mentor AI engineers and data scientists.
-
Build AI engineering standards, reusable frameworks, and shared tooling across SSDA.
-
Promote knowledge sharing through Communities of Practice.
-
Foster a culture of experimentation, continuous learning, and engineering excellence.
-
Support talent development in emerging AI domains including GenAI and agent-based systems.
Minimum Requirements
Bachelor's Degree in a related field (Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT, or equivalent).
5 to 8 years of experience applying analytical methods and AI/ML solutions in enterprise environments.
5 to 8 years of experience using Python-based AI/ML technologies.
Experience leading AI or Data Science teams.
Experience acting as a senior technical lead facilitating solution trade-offs and architectural decisions.
Experience using Cloud AI Platforms (GCP preferred).
Hands-on experience with Generative AI technologies and enterprise AI deployment.
Preferred Requirements
Master's or PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, or Computer Science.
Experience managing and growing high-performing AI teams.
Expert-level knowledge in advanced predictive analytics and AI techniques (Genetic Algorithms, Ensemble Learning, Neural Networks, NLP, Simulation, Design of Experiments).
Strong working knowledge of GCP and enterprise AI architecture patterns.
Expertise in open-source technologies such as Python, R, Spark, SQL.
Experience building enterprise-grade GenAI and agent-based AI solutions.
Strategic Thinking & Leadership
Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
Define and communicate AI product vision, roadmaps, and measurable success metrics.
Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.
Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.
Technical Leadership & Expertise
Architect and oversee end-to-end AI/ML and GenAI systems, including:
Predictive analytics models
Deep learning and neural networks
NLP and computer vision solutions
Retrieval-Augmented Generation (RAG) systems
Agentic AI frameworks and multi-agent orchestration systems
Strong proficiency in Google Cloud Platform (GCP) services for AI/ML (Vertex AI, BigQuery, Dataflow, Cloud Storage)
Deep expertise in machine learning algorithms including ensemble methods, neural networks, regression models, simulation and optimization techniques, NLP, and image processing
Experience building AI systems using TensorFlow, PyTorch, Keras, and Python-based ecosystems
Experience with LLMs, foundation models, prompt engineering, fine-tuning, and evaluation pipelines
Implement scalable MLOps and LLMOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining
Proficiency in Git, Docker, API-based deployments, and scalable cloud AI services
Apply strong software engineering practices within AI systems including testing, modular design, observability, and documentation
Drive research and innovation in advanced AI techniques to enhance enterprise capabilities
Support architectural reviews and ensure best practices across AI systems
Implement Responsible AI principles including governance, model explainability, fairness, and ethical AI compliance
Delivery Focus
Own end-to-end AI product delivery in partnership with Product, Engineering, and Data teams.
Ensure production-grade deployment of AI models using containerization (Docker), orchestration, and scalable cloud infrastructure.
Influence investment decisions using measurable impact metrics and ROI analysis.
Establish monitoring frameworks for model drift, performance degradation, and system reliability.
Team Development & Community Leadership
Lead and mentor AI engineers and data scientists.
Build AI engineering standards, reusable frameworks, and shared tooling across SSDA.
Promote knowledge sharing through Communities of Practice.
Foster a culture of experimentation, continuous learning, and engineering excellence.
Support talent development in emerging AI domains including GenAI and agent-based systems.
About Ford
Sourced by ZipRecruiter
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
Industry
Civil engineering construction
Company size
51 - 200 Employees
Headquarters location
Doral, FL, US
Year founded
1982