Sr Machine Learning Engineer - Demand Forecasting Engine (DFE)

The pay range is $114,000.00 - $205,000.00

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 SR 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 Senior Machine Learning Engineer, you will join a Data Sciences team responsible for developing and operating a complex demand forecasting pipeline that delivers business-critical, detailed forecasts to downstream consumers. You will play a crucial role in designing, implementing, and optimizing machine learning solutions in production while ensuring the pipeline’s architecture, automation, testing, and validation.  Machine Learning Engineers are expected to understand best-practice software design, participate in code reviews, and create a maintainable and well-tested codebase with relevant documentation. Additionally, candidates will have opportunities to design and develop additional tooling, such as REST APIs or streaming message queues, to deliver data to external consumers.  You will also have opportunities to present work to technical and business leaders, conduct training sessions, and contribute learnings back to the organization. You will also build knowledge on business priorities and strategic goals, leveraging this understanding to inform requirements and solutions for each business need.

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 experience
• PhD or MS in Computer Science, Data Science, Applied Mathematics, Statistics, Physics or equivalent industry experience
• 3 plus years of experience in end-to-end software development or applied Machine Learning
• Experience deploying Machine Learning algorithms into production environments (Vertex)
• Demonstrated programming experience in Python, Java or R
• Good understanding of Big Data tech - specifically the Spark and/or Hadoop ecosystem
• Experience with CI/CD, various testing frameworks and containerization (Docker)
• Ability to collaborate with product managers, data scientists and engineers to understand the business requirements and translate to machine learning solutions at scale
• Excellent communication skill with the ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
• Self-driven and results oriented - able to meet tight timelines
• Motivated team-player with ability to collaborate effectively across global team
• Experience in mentoring junior team members in ML skillset and career development

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ Sunnyvale location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.

Application deadline is : 02/27/2025