Machine Learning Engineer - Personalization (Applied ML, Python, PyTorch)

The pay range is $72,100.00 - $129,800.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A MACHINE LEARNING ENGINEER

About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.

 
Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning.

As a Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target Mobile App.  You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will work in partnership with data scientists, engineers, and product managers to understand the business requirements and build solutions to meet business needs.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you: 

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent work experience
• Demonstrated proficiency in Python programming
• Familiarity with ML frameworks such as PyTorch, TensorFlow, XGBoost, and Scikit learning
• Familiarity with SQL
• Familiarity with software design on Linux/Mac
• Familiarity with software version control such as git and software test coverage practices and frameworks such as PyTest
• Understanding the end-to-end model lifecycle including data ingestion and processing, feature extraction and selection, model training and tuning, model evaluation, and model deployment
• Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results oriented; able to meet deadlines
• Motivated, team player with ability to collaborate effectively across global team

Bonus Points:

• MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
• Familiarity with cloud ML services such as Vertex AI/Azure ML/Sagemaker
• Proficiency