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CoStar Group

Senior Software Engineer - Applied AI Team

Reposted 18 Days Ago
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In-Office
Arlington, VA
Senior level
In-Office
Arlington, VA
Senior level
The Senior Software Engineer will design distributed systems, utilize AWS for infrastructure, integrate AI capabilities, mentor developers, and optimize software development processes.
The summary above was generated by AI
Senior Software Engineer - Applied AI Team


Job Description


CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.  We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors.  We continue that effort today and are always working to improve and drive innovation.  This is how we deliver for our customers, our employees, and investors.  By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.  

We are seeking an accomplished Senior Software Engineer who excels at designing and architecting large-scale, distributed systems. This engineer will join our Applied AI team, which focuses on incorporating generative AI and building innovative GenAI-based solutions while creating infrastructure and tools that support the organization. Our team has deployed small models, built classifiers, and is at the forefront of AI innovation.

This position is located in our Arlington, VA office and offers a schedule of Monday-Thursday in office and Friday work from home.

Responsibilities

  • Build large-scale, distributed, API-driven systems using Node.js and modern scalable design patterns on AWS
  • Design and implement infrastructure using Terraform, Docker, and build CI/CD pipelines for deployment
  • Architect and develop event-driven applications leveraging AWS services (Lambda, SQS, DynamoDB, S3, etc.)
  • Integrate generative AI capabilities and deploy machine learning models into production applications
  • Build and optimize small classifiers and work with both 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
  • Continually evaluate emerging AI/ML technologies and scalable architecture patterns to identify opportunities and best practices
  • Willingness to take an active role in mentoring other developers

Qualifications

  • Bachelor's Degree required from an accredited, in-person, not for profit university or college
  • 5+ years of production development experience with Node.js building 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, DynamoDB, 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
  • A track record of commitment to previous employers

Preferred Qualifications

  • Experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) a plus
  • Hands-on experience deploying machine learning models to production a plus
  • Experience building small classifiers or working with model fine-tuning a plus
  • .NET Core development experience a plus
  • Experience with OpenSearch, Redis, Kafka a plus

What’s in it for you? 

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement.

Our benefits package includes (but is not limited to):

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, 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

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.  However, please note that CoStar Group is not able to provide visa sponsorship for this position.

#LI-CH1


CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Top Skills

.Net Core
AWS
Ci/Cd
Docker
DynamoDB
Hugging Face Transformers
Kafka
Lambda
Node.js
Opensearch
PyTorch
Redis
S3
Scikit-Learn
Sqs
TensorFlow
Terraform

CoStar Group Denver, Colorado, USA Office

1225 17th St, Denver, CO, United States, 80202

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