ZipRecruiter

Log In

1

Deep Learning Quantization Jobs in Fort Myers, FL

Eightpoint Interactive, Inc.

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

... machine learning technologies to create intelligent, personalized user experiences. You'll ... Deep experience with LLM application development: Retrieval-Augmented Generation (RAG), vector ...

All JobsDeep Learning Quantization JobsDeep Learning Quantization Jobs in Fort Myers, FL

Deep Learning Quantization information

See Fort Myers, FL salary details

$10.3K

$78.3K

$130.7K

How much do deep learning quantization jobs pay per year?

As of Aug 26, 2026, the average yearly pay for deep learning quantization in Fort Myers, FL is $78,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $129,700.00 per year, depending on experience, location, and employer.

What is deep learning quantization?

Deep learning quantization is the process of reducing the precision of the numbers used to represent a neural network's parameters, activations, or both. By converting the typically used 32-bit floating-point values to lower bit-width formats such as 16-bit or 8-bit integers, quantization significantly reduces the memory footprint and computational requirements of deep learning models. This technique helps deploy models efficiently on edge devices and mobile hardware while maintaining acceptable accuracy levels. Quantization is widely used in model optimization for faster inference and lower power consumption.

What are some common challenges faced when implementing deep learning quantization in production environments?

One of the main challenges in implementing deep learning quantization is balancing model accuracy with computational efficiency, as quantization can sometimes lead to a drop in model performance. Additionally, ensuring hardware compatibility and optimizing for different devices (such as CPUs, GPUs, or edge devices) can require extensive testing and tuning. Collaboration with data scientists, software engineers, and hardware specialists is often essential to successfully deploy quantized models at scale. Staying updated with the latest quantization techniques and frameworks is also important for overcoming these challenges.

What are the key skills and qualifications needed to thrive as a deep learning quantization engineer, and why are they important?

To excel as a Deep Learning Quantization Engineer, you need a strong background in machine learning, applied mathematics, and computer science, usually supported by an advanced degree in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), quantization toolkits, and hardware acceleration platforms is crucial. Analytical thinking, problem-solving, and clear technical communication are standout soft skills in this role. These abilities are essential for efficiently optimizing models for deployment on resource-constrained hardware while maintaining accuracy and performance.

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

AspectDeep Learning QuantizationMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; knowledge of neural networksBachelor's or Master's in CS, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, hardware optimization settingsSoftware development teams, data-driven projects, product-focused environments
Industry UsageAI hardware optimization, model deployment, edge computingModel development, data analysis, software solutions across industries

Deep Learning Quantization focuses on reducing model size and improving inference speed through techniques like weight and activation quantization, often in hardware or embedded systems. Machine Learning Engineers develop, implement, and optimize machine learning models for various applications. While both roles require knowledge of AI and programming, Deep Learning Quantization is more specialized in model optimization techniques, whereas Machine Learning Engineers work broadly on model development and deployment.

What are popular job titles related to Deep Learning Quantization jobs in Fort Myers, FL?

For Deep Learning Quantization jobs in Fort Myers, FL, the most frequently searched job titles are:

What job categories do people searching Deep Learning Quantization jobs in Fort Myers, FL look for?

The top searched job categories for Deep Learning Quantization jobs in Fort Myers, FL are:

What cities near Fort Myers, FL are hiring for Deep Learning Quantization jobs?

Cities near Fort Myers, FL with the most Deep Learning Quantization job openings:

Deep Learning Quantization jobs near you

AI Engineer

Fort Myers, FL • On-site

Eightpoint Interactive, Inc.
See more jobs at Eightpoint Interactive, Inc.external

$110 - $160/hr

Other

PTO

Posted 7 days ago

Job description

Our innovative culture thrives on collaboration, data-driven decisions, and a startup mindset. Join our team and enjoy top-tier benefits, unlimited PTO, flexible schedules, free lunches, and the opportunity to work alongside a world-class team of professionals.

About the Role

We're looking for a self-directed AI/ML Engineer to join the Mobile Group at Eightpoint, where you'll be responsible for designing, building, and deploying AI-powered features that directly enhance our portfolio of mobile applications on iOS and Android.

In this role, you'll take ownership of complex problems from concept through production, leveraging large language models (LLMs), computer vision, recommendation systems, predictive models, and other machine learning technologies to create intelligent, personalized user experiences.

You’ll collaborate closely with Product Managers, Mobile Engineers, Designers, and Data teams. This will lead to identifying opportunities where AI can drive engagement, retention, and monetization while remaining responsible for the technical architecture, model selection, experimentation, evaluation, and production deployment of AI solutions.

Who You Are
  • Deep experience with LLM application development: Retrieval-Augmented Generation (RAG), vector databases, and embedding models
  • LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Fine-tuning experience, specifically LoRA (PEFT and quantization a plus)
  • PyTorch and/or TensorFlow
  • Dataset creation—sourcing, curating, and building datasets for training and evaluation
  • AWS SageMaker
  • Evaluation of model and retrieval quality (eval datasets, measuring retrieval performance, regression testing)
  • Telemetry and logging for production systems
Preferred Qualifications
  • FastAPI
  • Public presence on HuggingFace (model/dataset contributions)
  • Experience with managed ML platforms beyond SageMaker (Vertex AI, etc.)
  • ONNX (model export/optimization for inference)

We're a technology company focused on building innovative solutions that make a difference. Join our team of passionate developers, designers, and strategists.

Explore more opportunities at Eightpoint

Didn't find the right fit? We're always looking for talented people to join our team.

#J-18808-Ljbffr

Apply