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Salaried Deep Learning Jobs in Kansas (NOW HIRING)

EnCharge AI

$175K - $245K/yr

Strong expertise in deep learning, model optimization, and numerical precision analysis. * Hands-on ... The salary range for this position is $180,000 to $240,000 USD per year. (Per Year: $175,000 to ...

Waabi

$195K - $286K/yr

... deep learning, or related areas. - Experience distilling large generative models (diffusion models, LLMs, VLMs, or video models). - Background in autonomous vehicles or robotics. The US yearly salary ...

Guidepost Montessori

Lead Preschool Teacher

Leavenworth, KS · On-site

$15 - $19.75/hr

... deep learning. Montessori guides carefully prepare their classrooms to spark curiosity and ... Competitive salary * Health, dental, and vision insurance * Paid time off and paid holidays * 75 ...

Ascend Learning

Account Manager

Leawood, KS · On-site

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Success and a track record of forming deep relationships with key economic buyers that have ...

Velora

$25 - $30/hr

Develop deep product knowledge of Keela and Raisely , including staying current on new features ... Salary - The pay range for this role is $25 - $30 hourly. Your base salary compensation will be ...

Aprio

Lead Engineer (AWS)

Overland Park, KS · On-site

$98K - $132K/yr

By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing ... Work with forward-thinking professionals in a culture that values learning, agility, and purpose

Reli Group Inc

Power BI Intern

Topeka, KS · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

Power BI Intern

Wichita, KS · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

Power BI Intern

Kansas City, KS · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

Power BI Intern

Pittsburg, KS · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

Reli Group Inc

Power BI Intern

Overland Park, KS · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The estimate displayed represents the typical salary range for this position and is just one ...

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All JobsSalaried Deep Learning JobsSalaried Deep Learning Jobs in Kansas

Salaried Deep Learning information

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

What are popular job titles related to Salaried Deep Learning jobs in Kansas? For Salaried Deep Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Salaried Deep Learning jobs in Kansas look for? The top searched job categories for Salaried Deep Learning jobs in Kansas are:
What cities in Kansas are hiring for Salaried Deep Learning jobs? Cities in Kansas with the most Salaried Deep Learning job openings:
Salaried Deep Learning jobs near you

AI Research Engineer

EnCharge AI

On-site

$175K - $245K/yr

Full-time

Re-posted 3 days ago

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. 

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. 

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). 

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.

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