Machine Learning Engineer II

Overview

Develop and deploy scalable ML models for real estate data platforms.

Key Responsibilities

• ml solutions
• cloud ml
• model design
• scalable models
• large data
• collaboration

Tasks

-Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improves our customer’s experience -Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment -Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data.

Requirements

• python
• sql
• databricks
• sagemaker
• llms
• bachelor

What You Bring

-Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB). -Experience solving streaming and batch data processing problems at scale -Strong math and analytical skills -Bachelor’s degree, preferably Computer Science / Data Science or related field. MSc or PhD is a plus. -Work experience with recommendation systems, LLMs, NLP libraries -Experience building, deploying and optimizing ML models -3+ years of programming experience with modern languages such as Python -Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker -3+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role

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Benefits

-Paid time off -Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug -Tuition reimbursement -Employee stock purchase plan -Commuter and parking benefits -Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks -401(K) retirement plan with matching contributions -Gain an understanding of the CoStar business and how ML can improve things -Life, legal, and supplementary insurance

About Costar Group

-Offers comprehensive data on properties, tenants, leases, and market conditions globally. -Known for its pioneering technology and research, delivers powerful insights to commercial real estate professionals. -Its旗舰平台, CoStar, provides unmatched property data, news, and analytics. -Platforms used by real estate professionals, from brokers to investors to property managers. -Expanded through strategic acquisitions, including the purchase of LoopNet and Apartments.com. -Data-driven insights help clients make informed investment and leasing decisions, shaping the global real estate market.

Sector Specialisms

Visa Sponsorship

-no visa sponsorship is provided.

Security Clearance

-pre-employment substance abuse testing.