Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML ...
Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML ...
Description: The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non ...
Description: The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non ...
The Applications Engineer will work on intelligent automation, and AI/cognitive applications including machine learning and deep learning techniques. He/she will interface with non-technical users to ...
The Applications Engineer will work on intelligent automation, and AI/cognitive applications including machine learning and deep learning techniques. He/she will interface with non-technical users to ...
Senior Data Scientist - Machine Learning & AI
VA · Remote
$140K/yr
XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning * Statistics: Regression, Bayesian ... AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
Quick apply
Senior Data Scientist - Machine Learning & AI
VA · Remote
$140K/yr
XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning * Statistics: Regression, Bayesian ... AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
AI/ML Engineer, Senior
Alexandria, VA · Hybrid
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Alexandria, VA · Hybrid
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
AI/ML Engineer, Senior
Springfield, VA · Hybrid
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Springfield, VA · Hybrid
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLMbased pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize scalable ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
AI/ML Engineer, Senior
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
AI/ML Engineer, Senior with Security Clearance
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
AI/ML Engineer, Senior with Security Clearance
Alexandria, VA · On-site
$99K - $225K/yr
Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements. * Build and optimize ...
Artificial Intelligence / Machine Learning Developer
Ashburn, VA · On-site
$127K - $190K/yr
Develop, train, evaluate, fine-tune, and deploy advanced AI/ML, computer vision, deep-learning, and GenAI models. * Design and implement innovative AI solutions to address complex business challenges ...
Artificial Intelligence / Machine Learning Developer
Ashburn, VA · On-site
$127K - $190K/yr
Develop, train, evaluate, fine-tune, and deploy advanced AI/ML, computer vision, deep-learning, and GenAI models. * Design and implement innovative AI solutions to address complex business challenges ...
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
Quick apply
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
Senior Wireless Machine Learning Engineer, AI-RAN
Arlington, VA · On-site
$120K - $165K/yr
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
Senior Wireless Machine Learning Engineer, AI-RAN
Arlington, VA · On-site
$120K - $165K/yr
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
Deep Learning Ai information
What is a deep learning AI professional?
Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
What are the key skills and qualifications needed to thrive as a deep learning AI engineer?
To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.
What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?
Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.
What is the difference between Deep Learning Ai vs Machine Learning Engineer?
| Aspect | Deep Learning Ai | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of neural networks | Degree in Computer Science, Data Science, or related fields; programming skills in Python, R |
| Work Environment | Research labs, AI development teams, tech companies focusing on AI models | Software development teams, data analysis projects across various industries |
| Industry Usage | Primarily in AI research, autonomous systems, NLP, computer vision | Across industries for predictive modeling, data analysis, automation |
Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.
What are popular job titles related to Deep Learning Ai jobs in Virginia?
For Deep Learning Ai jobs in Virginia, the most frequently searched job titles are:
- Flexible Machine Learning Engineer Biotech
- Summer Golang Developer
- Machine Learning Engineer Biotech
- Machine Learning Summer Internship
- Junior Machine Learning Engineer
- Nlp Engineer
- Manager Edge Ai Machine Learning
- Machine Learning Engineer Intern
- Embedded Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
What job categories do people searching Deep Learning Ai jobs in Virginia look for?
The top searched job categories for Deep Learning Ai jobs in Virginia are:
- Director Google Machine Learning Engineer
- Embedded Machine Learning Internship
- Artificial Intelligence Machine Learning Engineer
- Assistant Convex Optimization
- Internship Aws Machine Learning
- Senior Staff Machine Learning Engineer
- Internship Google Blockchain
- Junior Machine Learning
- Contractual Machine Learning Government
- Internship Ixl Learning
What cities in Virginia are hiring for Deep Learning Ai jobs?
Cities in Virginia with the most Deep Learning Ai job openings:
AI Research Scientist - Machine Learning
Richmond, VA • On-site
AIToolboard
Other
Posted 23 days ago
Job description
Jobs / AI Research Scientist - Machine Learning
AI Research Scientist - Machine LearningFull-time
About the RoleOur client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, andcontributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence.Key Responsibilities:Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications.Qualifications:Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .
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