Department:

We are Walker & Dunlop.  We are one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities — where people live, work, shop, and play — to life. We are committed to creating meaningful social, environmental, and economic change in our communities. We believe seeking diverse talent and promoting the inclusion of all perspectives are more than moral imperatives – they are critical to our success and ability to innovate and grow.

*Please note that for this position at this time we are not considering candidates who will require our company’s visa sponsorship, either now or in the future. The most common requests for sponsorship we receive are OPT Visas and H-1B Visas.*

About WDTech

WDTech is on a mission to make the world of commercial real estate more transparent, efficient, and faster.  Our multidisciplinary teams leverage data analytics and data science to unearth meaningful information from an extraordinary volume and variety of property, hyperlocal, and market data.

The impact you will have

We are looking for a Senior Machine Learning Engineer (MLE) to join our Data Science organization to help develop and productize Machine Learning (ML) solutions for automated property valuations, entity resolution, automated financial document ingestion, data mining, asset recommendations and market forecasting.

You will work alongside Data Scientists, Data Analysts and other MLEs on model research and development and join forces with Data and Software Engineers to embed those models in production-ready ML pipelines and APIs. You will orchestrate ML production loads in AWS, actively participate in the development of our Data Science computing platform and help us move towards a MLOps level 2 maturity level.

• Build scalable ML pipelines to deliver predictions in production
• Collaborate with software and DevOps engineers to contribute designs and requirements for end-to-end solutions
• Work on the development of the W&D Data Science computing platform in AWS, our CD4ML tools and model monitoring mechanisms
• Develop and productionized ML models to solve problems for a variety of data and domains, including entity resolution and linkage, deep learning for automated text processing, asset similarity models, etc.
• Be a team player and constantly coordinate with other disciplines to deliver excellent products and clear documentation
• Contribute to the Data Science/ML activities, supporting best practices, knowledge sharing and cross-functional initiatives

What we look for:

• 5 or more years experience in Python (Pandas, Numpy, Sklearn, etc.) and SQL
• 5 or more years experience in ML or software engineering and a strong academic background in ML or a related discipline
• Experience with Git for version control, code collaboration, and managing repositories
• Hands-on experience with developing CI/CD pipelines and best practices on MLOps
• Hands-on experience with integrating machine learning models into APIs for deployment using tools such as MLFlow and FastAPI
• Hands-on experience with orchestrating ML and big data services in AWS (Step Functions, Sagemaker Processing job and AutoML, S3, Amazon Redshift, EKS) or other cloud services
• Hands-on experience with with containerization using Docker to package and deploy applications consistently across different environments
• Deep Learning experience with PyTorch or TensorFlow
• Amazing communicators who can convey the importance of their work to laypersons as well as peers
• Demonstrable experience of influencing and driving Engineering strategy
• Excellent communication skills in verbal and written English

Bonus points for

• Experience with orchestrating production workflows in Apache Airflow
• Experience in real-estate domain 

#LI-JC1

#LI-Remote

What We Offer  

• The opportunity to join one of Fortune Magazine’s Great Places to Work winners from 2015-2023 

• Comprehensive benefit options* that have earned Walker & Dunlop the silver level of the 2022 Cigna Healthy Workforce Designation™, some of which include:
    - Up to 83% subsidized medical payroll deductions
    - Competitive dental and vision benefits
    - 401(k) + match
    - Pre-tax transit and commuting benefits
    - A robust health and wellness program – earn cash rewards and gain access to resources that
      promote health, engagement, and balance
    - Paid maternity and parental leave, as well as other family paid leave programs
    - Company-paid life, short and long-term disability insurance
    - Health Savings Account and Healthcare and Dependent Care Flexible Spending 

• Commitment to diversity, equity, and inclusion, with employee resource groups organizing activities and providing a space for open communication 

• Career development opportunities 

• Empowerment and encouragement to give back – volunteer hours and donation matching 

 
*Eligibility may vary based on average number of hours worked 

EEO Statement

We are committed to equity in all steps of the recruitment and employment experience. We believe in equal access to opportunities in our workplace.  We do not tolerate discrimination, including harassment, based on any characteristic protected by applicable law, such as race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, and genetic information.  We strive to be a safe place to ask questions, build professional relationships, and develop careers.

SPAM
Please be wary of recruitment scams. An indication of a scam might be a request for sensitive or bank information at the time of application or emails coming from a non walkerdunlop.com email address. Please call us at 301.215.5500, if you have any concerns about information requested during or after the application process.