NHS Human Services, Inc.

Senior Applied Machine Learning Engineer -- Merchant Menu, DoorDash, Inc., Seattle, WA. Utilize robust data and machine learning infrastructure to build new AI solutions to optimize Merchant menus. Conceptualize, design, and evaluate A/ML solutions. Collaborate cross-functionally as well as evaluate and execute on tradeoffs to maximize business impact for the company. Lead with engineering and product leaders to build ML-driven product roadmap. Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. Develop production machine learning solutions batch and real time to provide world class merchant experience. Participate in any company-wide training programs (WeDash, etc.). Telecommuting Permitted. (SAMLEMM- S-102-WA)

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.

Salary Range: $190,486.00 - $241,900.00/yr. Standard Company Benefits.

**MINIMUM REQUIREMENTS:

**

Master's degree (or foreign equivalent) in Computer Science, Mathematics, Statistics, Physics, Operations Research, or closely related discipline and four (4) years of experience in the applied Science or Software Engineering industry including machine learning.

In the alternative, employer will accept a PhD (or foreign equivalent) in Computer Science, Mathematics, Statistics, Physics, Operations Research, or closely related discipline and one (1) year of experience in the applied Science or Software Engineering industry including machine learning.

Qualifying experience must include the following skills (which may be gained concurrently);

• Programming languages such as Java, Python;
• Stream data processing;
• Data structure;
• CI/CD;
• Docker;
• SQL or NoSQL Database;
• Distributed Systems;
• Building machine learning models and their supporting pipelines in the information retrieval or recommendation field;
• Algorithm areas like query understanding, personalization, or ranking.
• Qualifying experience must also include at least one (1) year in the following skills (which may be gained concurrently);
• One (1) of the following fields: Information Retrieval and Search Engine; NLP, modeling and understanding of natural languages;
• Develop Machine Learning Toolkit (MLTK), Recommendation system; or Knowledge graph;
• Building and deploying machine learning systems in production by using frameworks such as PyTorch, LightGBM, Keras, scikitlearn, Splunk, Spark ML, etc.;
• Building data pipelines (training, feature engineering) at scale using Pyspark and Snowflake SQL, or other similar frameworks.

Any suitable combination of education, training and experience is acceptable.

Up to 10% travel (domestic and/or international) based on business need

To apply, please send resumes to workwithus@doordash.com. Must reference job code (SAMLEMM- S-102-WA) to be considered.