Impact

As a Machine Learning Engineer on the Foundations team you will own the entire ML lifecycle: creating POCs, building production-ready systems, deployment, monitoring and maintenance.

In this role you will create scalable, production-ready ML solutions, and optimize the performance and scalability of machine learning models. You will design and conduct offline expriments to validate the impact of algorithmic changes on key business metrics and engage in continuous learning and development.

What You’ll Need to Be Successful

• 2+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results

• Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.

• Excellent software design and development skills in Python

• Experience in one or more of the following applied fields: LLMs, Transformers, Recommendations, Personalization

• Great interpersonal skills including strong written and verbal communication

Skills & Education

This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.

Data Science, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language)

Bachelor's Degree or equivalent experience | Required

Work Arrangement

Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.

About Shipt

Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.

At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.

Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com.

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 a reasonable accommodation. If you need assistance filling out a job application, please complete this form.

For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter.

Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.