Homes.com - Machine Learning Engineer
Job Description
CoStar delivers real-time, verified real estate data that helps clients confidently spot great opportunities and make smart choices ahead of competitors. By combining the power of CoStar’s independent research organization – the industry’s largest – with global data delivery, software, and application solutions, clients can act on opportunities with confidence.
Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more. We enhance our extensive property database, personalize our customers’ experience on our product websites, and create innovative datasets and forecasts that are the industry standards in our market leading products.
We are searching for a Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. We are growing rapidly to help invent the future of Real Estate, with Data Science playing a critical role in that growth.
This role offers a work schedule of 4 days in office (Irvine,CA) and 1 day remote.

BASIC QUALIFICATIONS

• Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field. MSc or PhD is a plus.
• A track record of commitment to prior employers
• 2+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role
• 2+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
• Work experience with Image Classification, Object Detection, NER, or Recommendation Systems.
• Experience building data pipelines to collect data, train and test models, measure model performance, run inference on large datasets, and output results.
• Experience with ML libraries such as TensorFlow, Keras, and Scikit-learn.
• Experience with data manipulation and visualization libraries such as pandas, matplotlib, seaborn, or Plotly.
• Strong math and analytical skills.

PREFERRED SKILLS

• Experience with databases, such as SQL Server, AWS RDS, DynamoDB.
• Experience solving streaming and batch data processing problems at scale.
• Experience with ML cloud tools such as Databricks, Amazon Personalize, Comprehend, SageMaker, and Rekognition.
• Experience with integration of input data from a variety of sources.
  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, tuition reimbursement, and an inter-office exchange program.

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

This position offers a base salary range of $109,000.00 – 202,000.00, based on relevant skills and experience and includes a generous benefits plan.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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

• 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.
• Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer’s experience.
• Gain an understanding of the CoStar business and how ML can improve things.