DaVita
Machine Learning Software Engineer - TS/SCI Required
DaVita, Herndon, Virginia, United States, 22070
Expedition Technology is seeking a passionate and skilled
Machine Learning Software Engineer
to join our team in developing cutting-edge ML solutions for the Department of Defense and Intelligence Community. This role is ideal for a software engineer who thrives at the intersection of
machine learning and software engineering , with a particular focus on
computer vision
applications. If you are excited about building elegant, scalable software systems that bring ML models to life-and you enjoy working in a collaborative, mission-driven environment-this is the opportunity for you. What You'll Do Design, implement, and maintain
robust, testable, and scalable software
to support ML model development and deployment Develop and optimize
training and inference pipelines
for computer vision models Collaborate with ML researchers to
transition models from experimentation to production Integrate ML models into real-world systems, ensuring performance, reliability, and maintainability Apply software engineering best practices including
version control, CI/CD, code reviews, and testing Contribute to the development of internal tools and libraries that accelerate ML workflows
What You Bring
U.S. Citizenship An active TS/SCI security clearance Bachelor's degree in
Computer Science ,
Electrical Engineering , or a related field 5+ years of experience
in software engineering with a strong foundation in Python Solid understanding of
machine learning fundamentals , with hands-on experience in
training and fine-tuning models , especially in
computer vision Experience building
ML pipelines
for training and inference using tools like PyTorch, PyTorch Lightning, or TensorFlow Familiarity with
data preprocessing ,
augmentation , and
evaluation metrics
for vision tasks Ability to write clean, modular, and well-tested code using modern software engineering practices Experience with
containerization (Docker)
and deploying ML models in production environments Familiarity with
cloud platforms
(e.g., AWS) is a plus, but not the primary focus
Bonus Points For
Experience with
model optimization techniques
(e.g., quantization, pruning) Familiarity with
MLOps tools
like MLflow, Weights & Biases, or Airflow (for orchestration) Contributions to open-source ML projects or published research in computer vision Experience with
C++ or other compiled languages
for performance-critical components
Why Join Us? At Expedition Technology, you'll work on impactful projects that push the boundaries of what's possible with machine learning. You'll be part of a collaborative team that values innovation, technical excellence, and mission success. Join our expedition and help shape the future of intelligent systems. Clearance Required: TS/SCI LI #onsite Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage 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 creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day. Interested in joining our team? Let's explore together. To learn more about EXP and discover why we are an award-winning workplace, visit ourweb siteand follow us onLinkedIn. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs.Here's a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid
medical, dental, and vision insurance Generous Time Off : Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave 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.
Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status. #J-18808-Ljbffr
Machine Learning Software Engineer
to join our team in developing cutting-edge ML solutions for the Department of Defense and Intelligence Community. This role is ideal for a software engineer who thrives at the intersection of
machine learning and software engineering , with a particular focus on
computer vision
applications. If you are excited about building elegant, scalable software systems that bring ML models to life-and you enjoy working in a collaborative, mission-driven environment-this is the opportunity for you. What You'll Do Design, implement, and maintain
robust, testable, and scalable software
to support ML model development and deployment Develop and optimize
training and inference pipelines
for computer vision models Collaborate with ML researchers to
transition models from experimentation to production Integrate ML models into real-world systems, ensuring performance, reliability, and maintainability Apply software engineering best practices including
version control, CI/CD, code reviews, and testing Contribute to the development of internal tools and libraries that accelerate ML workflows
What You Bring
U.S. Citizenship An active TS/SCI security clearance Bachelor's degree in
Computer Science ,
Electrical Engineering , or a related field 5+ years of experience
in software engineering with a strong foundation in Python Solid understanding of
machine learning fundamentals , with hands-on experience in
training and fine-tuning models , especially in
computer vision Experience building
ML pipelines
for training and inference using tools like PyTorch, PyTorch Lightning, or TensorFlow Familiarity with
data preprocessing ,
augmentation , and
evaluation metrics
for vision tasks Ability to write clean, modular, and well-tested code using modern software engineering practices Experience with
containerization (Docker)
and deploying ML models in production environments Familiarity with
cloud platforms
(e.g., AWS) is a plus, but not the primary focus
Bonus Points For
Experience with
model optimization techniques
(e.g., quantization, pruning) Familiarity with
MLOps tools
like MLflow, Weights & Biases, or Airflow (for orchestration) Contributions to open-source ML projects or published research in computer vision Experience with
C++ or other compiled languages
for performance-critical components
Why Join Us? At Expedition Technology, you'll work on impactful projects that push the boundaries of what's possible with machine learning. You'll be part of a collaborative team that values innovation, technical excellence, and mission success. Join our expedition and help shape the future of intelligent systems. Clearance Required: TS/SCI LI #onsite Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage 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 creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day. Interested in joining our team? Let's explore together. To learn more about EXP and discover why we are an award-winning workplace, visit ourweb siteand follow us onLinkedIn. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs.Here's a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid
medical, dental, and vision insurance Generous Time Off : Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave 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.
Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status. #J-18808-Ljbffr