Design, implement, and test deep-learning object-detection and classification pipelines, including ... quantization, pruning, knowledge distillation) - Knowledge of hardware acceleration techniques ...
Design, implement, and test deep-learning object-detection and classification pipelines, including ... quantization, pruning, knowledge distillation) - Knowledge of hardware acceleration techniques ...
Senior Gen AI Developer -Vice President
Tampa, FL · On-site
$113.84K - $170.76K/yr
You will collaborate with cross-functional teams, contribute deep technical expertise, and play a ... Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
Senior Gen AI Developer -Vice President
Tampa, FL · On-site
$113.84K - $170.76K/yr
You will collaborate with cross-functional teams, contribute deep technical expertise, and play a ... Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
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 Florida? For Deep Learning Quantization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Deep Learning Quantization jobs in Florida look for? The top searched job categories for Deep Learning Quantization jobs in Florida are:
What cities in Florida are hiring for Deep Learning Quantization jobs? Cities in Florida with the most Deep Learning Quantization job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
Lockheed Martin rating
8.2
Based on 375 frontline employees who took The Breakroom Quiz
31st of 59 rated aerospace companies
Job description
Job Description
You will be the AI/ML Research Engineer Sr for the Autonomy & Artificial Intelligence (A/AI) team. Our team creates cutting-edge machine-learning and computer-vision solutions that enable safe, mission-critical capabilities for Lockheed Martin Missiles and Fire Control.
What You Will Be Doing
As the AI/ML Research Engineer Sr you will be responsible for designing, implementing, and validating advanced AI/ML algorithms that solve complex perception challenges.
Your responsibilities will include, but are not limited to:
Why Join Us
We are looking for a collaborative, purpose-driven professional who thrives on turning research into operational capability. This role offers high visibility, direct impact on mission-critical systems, and a clear path for career growth within a world-class aerospace organization.
We are committed to supporting your work-life balance and overall well-being, offering flexible 4-day x 10-hour schedules. Learn more about Lockheed Martin's comprehensive benefits package here.
Further Information About This Opportunity
This position is in Orlando. Discover more about our Orlando, Florida location.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance. A company-sponsored interim secret clearance is required to start.
Basic Qualifications
• Candidate must have a Bachelor's degree in computer science, computer engineering, electrical engineering, applied mathematics, or related field
• 2+ years of experience in embedded systems, edge computing, or AI deployment
• Strong proficiency in deep learning frameworks
(PyTorch, TensorFlow, ONNX)
• Experience deploying neural networks on embedded/edge devices
• Must have the ability to obtain a DoD Secret Security Clearance, therefore must be a U.S Citizen.
Desired skills
- Familiarity with at least one of the target platforms (NVIDIA Jetson, AMD Versal, Intel edge AI)
- Proficiency in Python and C++ for model deployment and optimization
- Understanding of neural network architectures and their computational requirements
- Knowledge of model optimization techniques (quantization, pruning, knowledge distillation)
- Knowledge of hardware acceleration techniques (CUDA, OpenCL, Vulkan)
- Familiarity with AMD Xilinx tools (Vitis AI) and FPGA programming
- Experience with TensorRT, OpenVINO, or other inference optimization frameworks
- Background in computer vision, signal processing, or other application domains
- Experience with containerization and edge deployment workflows (Docker, edge orchestration)
- Understanding of power and thermal management in edge devices
- Problem-solving mindset with attention to real-world deployment challenges
- Self-motivated with ability to work independently and collaboratively
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
You will be the AI/ML Research Engineer Sr for the Autonomy & Artificial Intelligence (A/AI) team. Our team creates cutting-edge machine-learning and computer-vision solutions that enable safe, mission-critical capabilities for Lockheed Martin Missiles and Fire Control.
What You Will Be Doing
As the AI/ML Research Engineer Sr you will be responsible for designing, implementing, and validating advanced AI/ML algorithms that solve complex perception challenges.
Your responsibilities will include, but are not limited to:
- Design, implement, and test deep-learning object-detection and classification pipelines, including image-processing and data-augmentation techniques for missile and fire-control products.
- Develop, verify, and validate complex models and simulations that leverage convolutional neural networks, transformers, generative AI, and related techniques.
- Deploy and integrate AI/ML algorithms to CPUs, GPUs, and edge devices, ensuring performance meets system-level requirements.
- Evaluate system performance in realistic scenarios, conduct HWIL (Hardware-In-The-Loop) testing, and support ground-and flight-test activities.
- Support program reviews, technical-interchange meetings, and customer engagements by presenting results and recommending mitigations.
Why Join Us
We are looking for a collaborative, purpose-driven professional who thrives on turning research into operational capability. This role offers high visibility, direct impact on mission-critical systems, and a clear path for career growth within a world-class aerospace organization.
We are committed to supporting your work-life balance and overall well-being, offering flexible 4-day x 10-hour schedules. Learn more about Lockheed Martin's comprehensive benefits package here.
Further Information About This Opportunity
This position is in Orlando. Discover more about our Orlando, Florida location.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance. A company-sponsored interim secret clearance is required to start.
Basic Qualifications
• Candidate must have a Bachelor's degree in computer science, computer engineering, electrical engineering, applied mathematics, or related field
• 2+ years of experience in embedded systems, edge computing, or AI deployment
• Strong proficiency in deep learning frameworks
(PyTorch, TensorFlow, ONNX)
• Experience deploying neural networks on embedded/edge devices
• Must have the ability to obtain a DoD Secret Security Clearance, therefore must be a U.S Citizen.
Desired skills
- Familiarity with at least one of the target platforms (NVIDIA Jetson, AMD Versal, Intel edge AI)
- Proficiency in Python and C++ for model deployment and optimization
- Understanding of neural network architectures and their computational requirements
- Knowledge of model optimization techniques (quantization, pruning, knowledge distillation)
- Knowledge of hardware acceleration techniques (CUDA, OpenCL, Vulkan)
- Familiarity with AMD Xilinx tools (Vitis AI) and FPGA programming
- Experience with TensorRT, OpenVINO, or other inference optimization frameworks
- Background in computer vision, signal processing, or other application domains
- Experience with containerization and edge deployment workflows (Docker, edge orchestration)
- Understanding of power and thermal management in edge devices
- Problem-solving mindset with attention to real-world deployment challenges
- Self-motivated with ability to work independently and collaboratively
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
What Lockheed Martin employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Lockheed Martin
Sourced by ZipRecruiter
As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Bethesda, MD, US
Year founded
1912