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Deep Learning Quantization Jobs in Irving, TX (NOW HIRING)

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Deep Learning Quantization information

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$10.6K

$80.6K

$134.4K

How much do deep learning quantization jobs pay per year?

As of Aug 7, 2026, the average yearly pay for deep learning quantization in Irving, TX is $80,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $133,500.00 per year, depending on experience, location, and employer.

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 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.
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What job categories do people searching Deep Learning Quantization jobs in Irving, TX look for? The top searched job categories for Deep Learning Quantization jobs in Irving, TX are:
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Deep Learning Quantization jobs near you

Engineering Lead Analyst - Vice President

Citigroup, Inc.

Irving, TX • On-site

$188/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 170 rated banks

Job description

The Department
Developer Enablement is a function of the CTO organization. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methods.
The Role
Software Engineers are critical to building the products and services we need to deliver innovative tooling within our department. Joining us a Senior Software Engineer working in Gen AI you will have the opportunity to build high-profile products, work closely with a talented group of peers and have the room to build and improve your own skillset. We believe that our Engineers should be a part of all steps of our product from idea to execution and you will be a key part along every step of that journey. You will also work with Generative AI technologies, such as GPT-5 or Gemini, embedding their capabilities in our systems.
As a Senior Software Engineer, you will need to demonstrate a deep understanding of user needs and contributing to the overall product vision. Technologies that will make a candidate successful include (but are not limited to) Python, TypeScript, React, Mongo and Generative AI.
Responsibilities:
  • Design, develop, and test software applications
  • Work closely with other team members to ensure that the software is developed and delivered on time and within budget
  • Set the standards for what good looks like; High quality software and great user experiences
  • Stay up to date on the latest software development trends and technologies
  • Work with a wide variety of teams across the organisation and help drive them towards an everything-as-code and a codified controls mind-set
  • Support and drive cultural change, instigating critical thinking about controls and processes and encouraging a culture of continuous improvement
  • Utilize Python for scripting, automation, data processing, machine learning integration, and API development.
  • Act as a technical leader and mentor to a team of software engineers, providing guidance on best practices, code quality, design patterns, and problem-solving.

Characteristics:
  • Able to identify and solve problems effectively
  • Excellent communication and collaboration skills
  • A strong product mindset, putting the user requirements at the forefront of decision making
  • Connected to latest technologies in Generative AI, and keen to put them in practice
  • Pragmatic, and a creative approach to managing risk
  • A growth mindset and willingness to learn and adapt in a fast-paced environment
  • Shows enthusiasm and develops trust through empathy
  • An advocate of inclusion and diversity in every way
  • A self-starter with the ability to work effectively in teams and remotely

Experience:
  • Proven experience as a Full Stack Software Engineer in product teams
  • Strong Experience delivering Python and GenAI products into production
  • Strong hands-on experience with LLMs and fine-tuning methods
  • Experience building RAG systems, including hybrid search and multi-vector retrieval
  • Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar
  • Proven experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for APIs and ML models.
  • Experience working in an agile software development environment
  • Experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, and NoSQL databases
  • Familiarity with NodeJs and React
  • Experience with testing frameworks such as PyTest and Playwright

Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Systems & Engineering
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125 760,00 - $188 640,00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
abr 07, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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