Senior Software Engineer - Applied AI Team

Senior Software Engineer - Applied AI Team

CoStar Group (NASDAQ: CSGP) is a global leader in commercial and residential real estate information, analytics, and online marketplaces. We are committed to digitizing the real estate industry and nurturing diverse, innovative talent.

• Build large‑scale, distributed, API‑driven systems using Node.js and modern scalable design patterns on AWS.
• Design and implement infrastructure with Terraform, Docker, and CI/CD pipelines for deployment.
• Architect and develop event‑driven applications using AWS services such as Lambda, SQS, Dynamo
  
  DB, and S3.
• Integrate generative AI capabilities and deploy machine‑learning models into production applications.
• Build and optimize small classifiers and work with generative AI and classical machine‑learning approaches.
• Drive and lead software design, development standards, code reviews, and production releases.
• Collaborate closely with other Software Engineers and AI practitioners across the organization.
• Continuously evaluate emerging AI/ML technologies and scalable architecture patterns to identify opportunities and best practices.
• Mentor junior developers and take an active role in knowledge sharing.

• Bachelor’s Degree from an accredited, in‑person, not for profit university or college.
• 5+ years of production development experience with Node.js in large‑scale, mission‑critical applications.
• Strong understanding of modern scalable design patterns and distributed systems architecture.
• Hands‑on experience with AWS services including Lambda, SQS, Dynamo
  
  DB, S3, and other core AWS resources.
• Proficiency with Terraform for infrastructure as code.
• Experience with Docker and containerization technologies.
• Strong understanding of CI/CD pipelines and the full development lifecycle.
• Solid understanding of GenAI concepts and classical machine‑learning fundamentals.
• Experience in architecting, designing, and building event‑driven applications in an agile environment.
• Proficiency in unit and performance testing.
• Track record of commitment to previous employers.

• Experience with machine‑learning libraries (Tensor Flow, PyTorch, scikit‑learn, Hugging Face Transformers).
• Experience deploying machine‑learning models to production.
• Experience building small classifiers or working with model fine‑tuning.
• `.NET Core` development experience.
• Experience with Open Search, Redis, Kafka.

• Collaborative and innovative culture with access to the best and brightest talent.
• Generous compensation and performance‑based incentives.
• Professional and academic growth support through internal training and tuition reimbursement.
• Comprehensive healthcare coverage: medical, vision, dental, prescription drug, life, legal, and supplementary insurance.
• Virtual and in‑person mental health counseling services.
• Commuter and parking benefits.
• 401(K) retirement plan with matching contributions.
• Employee stock purchase plan.
• Paid time off.
• On‑site fitness center and/or reimbursed fitness center membership, yoga studio, Peloton, personal training, group exercise classes.
• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups.
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug‑free workplace and perform pre‑employment substance abuse testing. We welcome all qualified candidates eligible to work full‑time in the United States but do not provide visa sponsorship for this position.

CoStar is committed to creating a diverse environment and is proud to be an equal opportunity workplace and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. CoStar also complies with all fair employment practices regarding citizenship and immigration status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access our careers site. You can request accommodations by calling 1‑855‑840‑1715 or emailing