Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
Staff, Software Engineer
$110K - $220K/yr
... LoRA, quantization). * Partner with engineering, product, and business leaders to translate ... Deep expertise in modern ML and deep learning approaches, including large language models and their ...
... learning solutions. * Deep expertise with at least one major cloud platform such as Google Cloud ... Proven expertise in large language model optimization techniques including quantization, pruning ...
... learning solutions. * Deep expertise with at least one major cloud platform such as Google Cloud ... Proven expertise in large language model optimization techniques including quantization, pruning ...
Deep Learning Quantization information
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 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 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 is the difference between Deep Learning Quantization vs Machine Learning Engineer?
| Aspect | Deep Learning Quantization | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Advanced degrees in AI, Computer Science, or related fields; knowledge of neural networks | Bachelor's or Master's in CS, Data Science, or related fields; programming skills |
| Work Environment | Research labs, AI development teams, hardware optimization settings | Software development teams, data-driven projects, product-focused environments |
| Industry Usage | AI hardware optimization, model deployment, edge computing | Model 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 Missouri? For Deep Learning Quantization jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Deep Learning Quantization jobs in Missouri look for? The top searched job categories for Deep Learning Quantization jobs in Missouri are:
$110K - $220K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 14 days ago
Walmart rating
6.0
Based on 21,574 frontline employees who took The Breakroom Quiz
22nd of 39 rated national retailers
Job description
Position Summary...What you'll do... What You’ll Do:
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
Option 2: 6 years’ experience in software engineering or related area.Preferred Qualifications...
We are looking for a seasoned and energetic Staff software engineer who can drive the development of the platform working with a group of high energy engineers, architects, product managers and report to leadership team. This role requires to be technically strong and be able to drive the development in a fast-paced environment. The candidate is expected to work with global teams, provide thought leadership, understand the business context and help provide right solutions, work with product and program managers to plan the releases, participate in sprint planning and handle deployments to production. If you are inspired by the opportunity to solve complex problems and make a difference for our customers, please join us.
About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to helpmanagers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to helpmanagers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
- Lead the design and evolution of large scale machine learning and generative AI systems, setting technical direction across multiple teams and initiatives.
- Architect and productionize LLM driven platforms and services, ensuring scalability, reliability, and maintainability in high impact environments.
- Define and implement advanced NLP and generative AI solutions, including RAG systems, agent based architectures, and multimodal models.
- Drive the development of multi agent systems capable of orchestrating complex, goal directed workflows from natural language inputs.
- Establish best practices for model development and deployment, including evaluation frameworks, experimentation standards, and performance optimization techniques (e.g., fine tuning, LoRA, quantization).
- Partner with engineering, product, and business leaders to translate ambiguous, high level problems into scalable AI solutions with measurable impact.
- Champion responsible AI practices, ensuring systems meet standards for safety, fairness, privacy, and regulatory compliance.
- Extensive experience building and scaling machine learning systems in production, with a strong focus on NLP and/or Gen AI applications.
- Proven ability to lead complex, cross functional initiatives and drive technical strategy in ambiguous problem spaces.
- Deep expertise in modern ML and deep learning approaches, including large language models and their adaptation techniques.
- Strong engineering background with experience designing distributed systems, APIs, and data/ML pipelines at scale.
- Hands on experience with LLM ecosystems and tooling (e.g., LangChain, LlamaIndex, DSPy, or similar), and familiarity with agent based or orchestration frameworks.
- Demonstrated experience deploying AI solutions in high stakes environments requiring careful consideration of risk, compliance, and trust.
- Track record of mentoring senior talent and influencing engineering practices beyond immediate team boundaries.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...805 Se Moberly Ln., Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
About Walmart
Sourced by ZipRecruiter
From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.
Industry
Retail, professional, labor and political organizations, specialized design services, transportation and warehousing and fitness and sports centers
Company size
10,000+ Employees
Headquarters location
Bentonville, AR, US