Machine Learning Engineer

Job Title: Machine Learning Engineer

Shipt, Inc. seeks a full-time Machine Learning Engineer based in San Francisco, CA. This role will drive the development and deployment of key AI initiatives (e.g., personalization, price optimization, promotion optimization, and ad tech platform) and services (e.g., quality, efficiency, security, and affordability).

Minimum Qualifications:

1. Master’s degree or equivalent in Computer Science, Engineering, Mathematics, or related quantitative STEM field.
2. 24 months of experience in proffered position or similar position (e.g., Application Developer, Software Developer, Systems Engineer, Software Engineer) working on software development.
3. At least 1 year of experience with the following:
1. Big Data Technologies (e.g., Hadoop, Spark, Hive)
2. Developing and deploying machine learning models in production
3. Python API development framework (e.g., Fast API, Django, Flask)
4. Cloud computing services or platforms (e.g., GCP, AWS, Azure)
5. Fundamentals of Computer Science: data structures, algorithms, etc.

Salary: $147,368 to $214,410/year

This position is hybrid. A candidate may work from the company’s San Francisco address or from the candidate’s home address, which must be within commuting distance, as authorized by a manager. Limited travel to company’s offices for work reasons may be needed.

Please apply online at Shipt Careers or by email at .

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law. Please inform your recruiting contact upon initial connection if you need any accommodations. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.