Computer Vision/Machine Learning Engineer

Company:  CoStar Group
Location: Washington
Closing Date: 08/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Computer Vision/Machine Learning Engineer

Job Description

OVERVIEW

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 are searching for a Computer Vision/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.

RESPONSIBILITIES

  1. Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment.
  2. Design, build, train, deploy and evaluate machine learning models that handle large amounts of data.
  3. Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer’s experience.
  4. Gain an understanding of the CoStar business and how ML can improve things.

BASIC QUALIFICATIONS

  1. Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics. MSc or PhD is a plus.
  2. A track record of commitment to prior employers.
  3. Experience with ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
  4. 4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
  5. 4+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
  6. Work experience with Image Classification, Image Processing, Object Detection, NER, or Recommendation Systems.
  7. Experience building data pipelines to collect data, train and test models, measure model performance, run inference on large datasets, and output results.
  8. Strong math and analytical skills.

PREFERRED SKILLS

  1. Experience with databases, such as SQL Server, AWS RDS, DynamoDB.
  2. Experience with Convolutional Neural Networks (CNNs).
  3. Experience solving streaming and batch data processing problems at scale.
  4. Experience with ML cloud tools such as Databricks, Amazon Personalize, Comprehend, SageMaker, and Rekognition.

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.
  • 401(K) retirement plan with matching contributions.
  • Paid time off.
  • Tuition reimbursement.
  • Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups.

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.

#J-18808-Ljbffr
Apply Now
Share this job
CoStar Group
  • Similar Jobs

  • Computer Vision/Machine Learning Engineer

    Washington
    View Job
  • Computer Vision/Machine Learning Engineer

    Washington
    View Job
  • Computer Vision/Machine Learning Engineer

    Washington
    View Job
  • Computer Vision/Machine Learning Engineer

    Washington
    View Job
  • Computer Vision/Machine Learning Engineer (Homes.com)

    Washington
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙