Principal Machine Learning Engineer

Principal Machine Learning Engineer – Gap Inc.

About Gap Inc. Our brands bridge gaps in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age, or ethnicity. Banana Republic believes in sustainable luxury for all. Gap inspires the world to bring individuality to modern, responsibly made essentials.

About

The Role

In this role you will design, develop, program, and maintain systems that consolidate and analyze diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team in building data and analytics capabilities to enhance the analytical platform and advance retail forecasting across the organization.

What You’ll Do

• Design, develop, and deploy enterprise planning or decision‑support systems, forecasting in retail, consumer, marketplace, or supply‑chain domains that support multi‑horizon planning and scenario evaluation.

• Apply time‑series forecasting expertise: hierarchical/aggregated forecasting, reconciliation concepts, seasonality, and multi‑horizon evaluation.

• Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources.

• Manipulate large amounts of data across diverse subject areas, collaborating with data scientists and engineers to prepare data pipelines for various modeling protocols.

• Build, validate, and maintain AI (ML / deep learning) models, diagnose and optimize performance, and develop statistical models for ad‑hoc business analysis.

• Create measurement strategies for accuracy, bias, stability, and business outcomes; run back‑tests and controlled experiments where feasible.

• Demonstrate advanced proficiency in Python, Spark, and common scripting languages for end‑to‑end pipelines; use SQL for efficient manipulation of large datasets in on‑prem and cloud distributed environments (Azure, GCP).

• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders.

• Collaborate on key initiatives and their implementation.

• Lead planning, budgeting, and delivery; set policies and strategic direction for the area/team.

Who You Are

• Experience with ML and classical predictive techniques such as logistic regression, decision trees, non‑linear regressions, ANN/CNN, boosted trees, SVM, Tensor Flow, and visualization packages; a track record of creating business impact.

• Experience in econometric demand modelling and prescriptive analytics, including elasticity, promo lift, Bayesian methods, and optimization‑based decision modelling.

• Ability to work at a detailed level and summarize findings to make strong recommendations for change.

• Ability to collaborate with cross‑functional teams and influence product and analytics roadmaps, with demonstrated relationship‑building proficiency.

• Skill in evaluating complex situations using multiple information sources (internal and external).

• Ability to filter, prioritize, analyze, and validate complex problems; deep subject‑area understanding.

Benefits at Gap Inc.

• Merchandise discount: 50% off regular‑priced merchandise at Old Navy, Gap, Banana Republic, and Athleta; 30% off at Outlet for all employees.

• Competitive paid time‑off plan.

• Up to five “on‑the‑clock” volunteer hours each month to a charity of your choice.

• Extensive 401(k) plan with company matching up to 4% of base pay.

• Employee stock purchase plan.

• Medical, dental, vision, and life insurance.

• Additional benefits are available.

Employment Details

• Seniority Level: Mid‑Senior level

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Employment Type:

Full‑time

• Job Function:
Engineering and Information Technology

• Industry: Retail

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Location:

San Jose, CA

• Salary Range: $209,700 – $272,600 USD

Equal Opportunity Employer

Gap Inc. is an equal‑opportunity employer committed to providing a workplace free from harassment and discrimination. We recruit and hire qualified people of all backgrounds and make employment decisions without regard to any protected status. We are proud of our long‑held commitment to diversity and inclusion.

Referral Program

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