drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

San Diego, CA - USA

Monthly Salary drjobs

$ 165100 - 220300

Vacancy

1 Vacancy

Job Description

Senior Machine Learning Engineer


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 worlds real estate empowering all people to discover properties insights and connections that improve their businesses and lives.

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 CoStars independent research organization the industrys 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 Senior 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 will be located in our San Diego location with a schedule of 4 days onsite (monday-Thursday) and 1 day work from home (Friday).

RESPONSIBILITIES

  • Collaborate on the continued improvement of CoStars 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 customers experience.

  • Gain an understanding of the CoStar business and how ML can improve things.

BASIC QUALIFICATIONS

  • Bachelors 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

  • 5 years of professional development experience as Machine Learning Engineer Data Scientist or related role

  • 5 years of programming experience with modern languages such as Python C# Java or Scala.

  • Work experience with recommendation systems LLMs NLP libraries image classification or image object detection.

  • Experience building data pipelines to collect data train and test models measure model performance run inference on large datasets and output results.

  • Work experience with CI/CD tools (e.g. Azure DevOps GitHub Actions Jenkins) and model versioning platforms (e.g. MLflow)

  • Experience with ML libraries such as TensorFlow Keras and Scikit-learn.

  • Experience with data manipulation and visualization libraries such as pandas/pyspark matplotlib seaborn or Plotly.

  • Strong math and analytical skills.

PREFERRED SKILLS

  • 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.

  • 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.

Whats in it for You

When you join CoStar Group youll 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 Groups 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 $based on relevant skills and experience and includes a generous benefits plan.

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

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

#LI-AV1


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


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.