Senior ML Engineer

CompStak envisions a commercial real estate industry in which accurate and transparent data leads to better, faster deals for everyone. We gather critical information that is hard to access, then make it instantly and seamlessly available to our platform members.

Location: Belgrade, Hybrid (Currently, we are three days per week in the office, subject to change)

Work hours: Mon - Fri 9-5pm (Thursdays 10-6pm) Belgrade time

ABOUT THE ROLE

We're looking for a Senior ML Engineer to join the Data Science team at CompStak to help implement our data-driven decision making processes. This position will be responsible for designing, developing and maintaining the infrastructure to our Machine Learning solutions that provide actionable insights to various departments across the organization. The role will have the opportunity to work with a wide range of data sources and models, utilizing modern ML stacks including Vector Stores and LLMs. This is an excellent opportunity for anyone that is passionate about data, eager to innovate, and committed to enrich the most comprehensive Knowledge Graph for the commercial Real Estate industry.

• Design, build, and deliver ML models and components to solve real-world business problems
• Write and test application code, develop and validate ML models
• Deploy, maintain, and monitor models in production
• Leverage cloud-based architectures to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Implement continuous integration and continuous deployment best practices
• Automate tests and deployment

• 5+ years of professional experience in Python development
• Experienced in building, scaling, and optimizing ML systems
• Experienced in developing and deploying ML application with container technologies such as Kubernetes and Docker
• Experienced in using ML and LLM frameworks such as Scikit-Learn and Langchain
• Experienced in data wrangling and ETL pipelines for ML projects with cloud storage, vector stores and warehouses such as AWS S3, Milvus and Snowflake
• Strong interest with Knowledge Graph concept and familiarity with graph databases like Neo4j is a big plus
• Strong interests in learning, improving and implementing ML Ops features such as feature store and model registration is a big plus

• 25 days off per year: 21 days of vacation, plus additional day for Slava, non-working Serbian holidays, 3 days of 100% paid sick leave
• You are covered with private health insurance, a package that will cover all your needs
• We cover maternity and pregnancy leave with 100% of your earnings
• Employee stock options
• FitPass and Rezilient platform because we care for your wellbeing as well
• Quarterly activity and events budgets for each team and yearly company-wide team building trip
• Numerous perks in the office (Sweet Wednesday, Thursday office lunch, Movie nights…)

About CompStak

Launched in 2012, we’ve built a network of over 30,000 brokers, appraisers and research professionals across the country, using a unique crowdsourced model.  Our clients enjoy the foremost lease and sale transaction data combined with a robust analytics platform. CompStak’s unique data and intuitive platform is used by the world’s largest real estate investors, lenders, brokers and appraisers to compare properties, underwrite investments and loans, close deals and track market trends.

CompStak has over 100 team members in the US and overseas; and we continue to grow.  We’re backed by top VCs and industry players like Morgan Stanley, Canaan Partners, IA Capital, Transamerica, Moody’s, RealPage, 500 Startups, and Daily Mail Group, and have raised over $75m to date. Our HQ is in New York City, we have regional offices in Atlanta, Chicago and Los Angeles, and we have an international office in Belgrade, Serbia.

We pride ourselves on an environment that is fun, collaborative, and rewards hard work. We look forward to the value that future employees will add to our amazing teams!

CompStak is an equal opportunity employer that celebrates employees and applicants of all identities, backgrounds, abilities, and perspectives. We foster a welcoming work environment that supports diversity and inclusion, and we reject discrimination or harassment of any individual. If you are a person with a disability and require assistance with any part of the application process, please let us know. All employment decisions are made on the basis of qualifications, merit, and business need.