Machine Learning Engineer II

San Diego, CA - USA

Monthly Salary: $ 125800 - 193600

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Machine Learning Engineer II

Job Description

Founded in 1987 CoStar Group is the leading provider of commercial real estate information analytics and online marketplaces. Our suite of online services enables clients to analyze interpret and gain unmatched insight on commercial property values market conditions and current availability. Behind some of the most well-known brands in the industry CoStar Group includes CoStar the largest provider of CRE research and real-time data; LoopNet the most heavily trafficked mobile and online real estate marketplace; the premier rental home resource for renters property managers and owners; STR the leading provider of performance benchmarking and comparative analytics to the hotel industry; BizBuySell the largest online marketplace for businesses-for-sales; and Lands of America the leading operator of online marketplaces for rural real estate.

Headquartered in Washington DC CoStar Group maintains offices throughout the U.S. and in Europe Canada and Asia with a staff of over 4300 worldwide.

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.

Data Scientists 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 in San Diego CA. We are growing rapidly to help invent the future of Real Estate with Data Science playing a critical role in that growth.

This position will be located out of our San Diego (UTC area) office with a 4 day onsite (Monday-Thursday) and 1 day work from home schedule (Fridays).

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 improves our customers experience
Gain an understanding of the CoStar business and how ML can improve things

BASIC QUALIFICATIONS

Bachelors degree preferably Computer Science / Data Science or related field. MSc or PhD is a plus.
3 years of professional development experience as Machine Learning Engineer Data Scientist or related role
3 years of programming experience with modern languages such as Python
Work experience with recommendation systems LLMs NLP libraries
Strong math and analytical skills

PREFERRED SKILLS

Experience with ML cloud tools such as Databricks Amazon Personalize SageMaker
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 building deploying and optimizing ML models

WHATS IN IT FOR YOU:

Working at CoStar Group means youll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines.

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
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
Complimentary gourmet coffee tea hot chocolate prepared foods fresh fruit and other healthy snacks

This position offers a base salary range of $125800 $193600 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

Machine Learning Engineer IIJob DescriptionFounded in 1987 CoStar Group is the leading provider of commercial real estate information analytics and online marketplaces. Our suite of online services enables clients to analyze interpret and gain unmatched insight on commercial property values market c...

Machine Learning Engineer II

Job Description

Headquartered in Washington DC CoStar Group maintains offices throughout the U.S. and in Europe Canada and Asia with a staff of over 4300 worldwide.

This position will be located out of our San Diego (UTC area) office with a 4 day onsite (Monday-Thursday) and 1 day work from home schedule (Fridays).

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 improves our customers experience
Gain an understanding of the CoStar business and how ML can improve things

BASIC QUALIFICATIONS

Bachelors degree preferably Computer Science / Data Science or related field. MSc or PhD is a plus.
3 years of professional development experience as Machine Learning Engineer Data Scientist or related role
3 years of programming experience with modern languages such as Python
Work experience with recommendation systems LLMs NLP libraries
Strong math and analytical skills

PREFERRED SKILLS

Experience with ML cloud tools such as Databricks Amazon Personalize SageMaker
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 building deploying and optimizing ML models

WHATS IN IT FOR YOU:

Working at CoStar Group means youll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines.

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
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
Complimentary gourmet coffee tea hot chocolate prepared foods fresh fruit and other healthy snacks

This position offers a base salary range of $125800 $193600 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