Deep Learning Software Engineer - R118

We need to output HTML fragment with sections: About the role? The posting includes description about role, responsibilities, required skills, benefits, maybe qualifications. We must not repeat job title. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. No Pay or Schedule because not mentioned. Benefits present. Responsibilities present. Required Skills And Experience could be split into Requirements, Qualifications, Skills? We need to decide. The posting includes "Required Skills And Experience" with many bullet-like items (though not bullet list). Also includes "Who is Expedition Technology?" which is about company, could be About the role? Actually About the role could be the introductory paragraph describing the role. We'll create sections: About the role (intro paragraph), Responsibilities (list), Requirements (maybe education/clearance etc), Skills (technical skills), Benefits (list). Ensure we don't create empty sections. We must preserve all substantive information, not invent. Remove boilerplate: EEO, navigation, cookie, legal, application instructions, duplicated lines. Also remove "Interested in joining our team? Here’s what you’ll need to succeed:" etc but keep content. We need to format lists with

• . For prose use

  . Let's extract content. Intro: "At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be! Currently, we are seeking an experienced Deep Learning-and-Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intel Community. We’re looking for someone who has in-depth understanding of DL architectures such as YOLO, Faster R-CNN, Mask R-CNN, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you!" That's About the role. Responsibilities: list after "Responsibilities Include". Items: - Researching academic literature to keep abreast of the latest theories, techniques, and tools - Working in a team to develop deep learning architectures and pipelines for novel applications - Implementing solutions in Python (PyTorch) - Delivering high-quality, carefully tested software - Participate in team brainstorming sessions to shape innovative solutions We'll make

  • . Required Skills And Experience: many items. We need to split into Requirements (education, clearance, citizenship, experience) and Skills (technical). Let's parse. Items: - An active Top Secret clearance (TS/SCI preferred) - US Citizenship – must be eligible to maintain a US-Government issued security clearance of Top Secret or higher - MS and 2+ years of experience or BS and 4+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics - Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework - Solid theoretical understanding of deep neural networks as well as its applications, particularly in computer vision - Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment - Experience using collaborative source code management tools (Git) - Strong technical presentation and writing skills - Strong software development skills to include object-oriented design and implementation in languages like Python - Strong practical experience developing in both object oriented and procedural languages - Experience with standard data structures, algorithms, and application organization - Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies - Experience with software testing (unit, integration, functional, etc.) - Exposure to software containerization with Docker, Linux, and cloud development We could group: Requirements: clearance, citizenship, education/experience. Skills: rest. But we also have a separate "Skills" heading possible. We'll create sections: Requirements (clearance, citizenship, education/experience), Skills (technical proficiencies). Ensure we don't duplicate. We must not include headings with filler. All content must be preserved. Now Benefits: list from "Benefits Expedition Technology (EXP) offers a flexible, self-directed benefits package..." then bullet-like sentences. We'll extract each benefit as list items. Benefits list: - Company-paid medical, dental, and vision insurance - Generous Time Off: Enjoy 11 paid holidays, up to 34 days of PTO - Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing. - Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster. - Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. - Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth. - Referral Bonus Program: Earn rewards for bringing talented individuals into our team. - Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life. - Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. - Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards. We'll make
    • . Now "Who is Expedition Technology?" could be About the company, maybe we could include as About the role? But we already have About the role. Could add another section "About the Company" but not in allowed headings list; allowed headings are About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could put company description under About the role? Might be okay to extend About the role with that paragraph. But we must not invent headings not allowed. So we can incorporate company description into About the role paragraph. Thus About the role will include both the role description and company overview. Now we need to ensure we don't repeat any content like duplicated lines. There's a duplicated "Interested in joining our team? Let’s explore together. Join Our Team and Enjoy Exceptional Benefits!" which is boilerplate/application instruction; we should remove. Also remove EEO statement at end. Now produce HTML fragment. Structure:

      About the role

      ... combined paragraph ...

      Responsibilities

      • ...
      ...

      Requirements

      • An active Top Secret clearance (TS/SCI preferred)
      • US Citizenship – must be eligible to maintain a US-Government issued security clearance of Top Secret or higher
      • MS and 2+ years of experience or BS and 4+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics

      Skills

      • Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
      • Solid theoretical understanding of deep neural networks as well as its applications, particularly in computer vision
      • Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
      • Experience using collaborative source code management tools (Git)
      • Strong technical presentation and writing skills
      • Strong software development skills to include object-oriented design and implementation in languages like Python
      • Strong practical experience developing in both object oriented and procedural languages
      • Experience with standard data structures, algorithms, and application organization
      • Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies
      • Experience with software testing (unit, integration, functional, etc.)
      • Exposure to software containerization with Docker, Linux, and cloud development

      Benefits

      • Company-paid medical, dental, and vision insurance
      • Generous Time Off: Enjoy 11 paid holidays, up to 34 days of PTO
      • Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
      • Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
      • Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
      • Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
      • Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
      • Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
      • Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
      • Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.
      We must not include Pay or Schedule sections. Now ensure we didn't miss any substantive info: The "Who is Expedition Technology?" paragraph we incorporated into About the role? Let's add that paragraph after the role description. About the role paragraph: combine: "At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be! Currently, we are seeking an experienced Deep Learning-and-Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intel Community. We’re looking for someone who has in-depth understanding of DL architectures such as YOLO, Faster R-CNN, Mask R-CNN, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you! Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held company that pushes the boundaries of