$175K - $245K/yr
About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...
$175K - $245K/yr
About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...
... 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
Research Scientist Intern (2025)
Topeka, KS · On-site
... 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
Research Scientist Intern (2025)
Topeka, KS · On-site
... 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
Research Scientist Intern (2025)
Wichita, KS · On-site
... 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
Research Scientist Intern (2025)
Wichita, KS · On-site
... 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
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods.
Machine Learning Tutor
Wichita, KS · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Wichita, KS · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Overland Park, KS · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Overland Park, KS · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Senior AI/ML Scientist
Wichita, KS · On-site
$143K - $229K/yr
Medical
Retirement
PTO
Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time. * Design ...
Senior AI/ML Scientist
Wichita, KS · On-site
$143K - $229K/yr
Medical
Retirement
PTO
Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time. * Design ...
The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
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 Kansas?
For Deep Learning Ai jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Deep Learning Ai jobs in Kansas look for?
The top searched job categories for Deep Learning Ai jobs in Kansas are:
- Remote Machine Learning Compiler Engineer
- Weights Biases
- Machine Learning Engineer Software Engineer
- Junior Machine Learning
- Freelance Computer Vision Deep Learning Engineer
- Internship Aws Machine Learning
- Embedded Machine Learning Internship
- Ai Reinforcement Learning
- Reinforcement Learning Robotics
- Artificial Intelligence Machine Learning Engineer
What cities in Kansas are hiring for Deep Learning Ai jobs?
Cities in Kansas with the most Deep Learning Ai job openings:
Job description
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads.Â
Responsibilities
Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.
Implement low-bit precision optimizations (e.g., INT8, BF16).
Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.
Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.
Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.
Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.
Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.
Benchmark performance across different hardware and software stacks.
Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration.Â
Qualifications
Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
Strong expertise in deep learning, model optimization, and numerical precision analysis.
Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).
Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.
Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.
Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).
Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM).Â
EnchargeAI is an equal employment opportunity employer in the United States.
The salary range for this position is $180,000 to $240,000 USD per year. (Per Year: $175,000 to $245,000 CAD | 116,000 to 154,000 EUR)
Actual compensation offered will be determined based on job-related knowledge, skills, and experience.
About EnCharge AI
Sourced by ZipRecruiter
Industry
Embedded software
Company size
11 - 50 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2022