{"id":1178426,"url":"https://alion.io/job/walmart-usa-principal-machine-learning-engineer","title":"(USA) Principal, Machine Learning Engineer","company":{"id":236,"name":"Walmart","domain":"walmart.com","url":"https://alion.io/company/walmart","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":329,"ghost_share":0,"stale_share":0.103,"repost_share":0.003,"time_to_fill_p50_days":6,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":257000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":782},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-26T23:42:21Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Position Summary...\nWhat you'll do...\nRole summary:The Principal, Machine Learning Engineer will lead the design and development of scalable, production-grade ML systems that address complex business challenges. This role involves architecting end-to-end ML pipelines, driving innovation in advanced modeling techniques, and ensuring robust deployment and monitoring practices. The position requires collaboration with cross-functional teams to align ML solutions with organizational goals while mentoring technical staff and promoting engineering excellence. The successful candidate will apply sound technical judgment, foster continuous improvement, and contribute to Walmart’s reputation through technical leadership and knowledge sharing.\nAbout the team:\nThe International Recommendations Platform team develops a multi-tenant framework delivering personalized experiences across Walmart International sites. The team pioneers innovation in Machine Learning and AI to improve customer engagement and business outcomes. Utilizing cloud-native architecture and software design patterns, members build scalable, resilient solutions. Collaboration is key, focusing on API design, system reviews, and data-driven decisions. The team emphasizes continuous improvement through DevOps engineering and software prototyping, ensuring accelerated delivery and high-quality standards in a dynamic environment. This environment fosters technical excellence and impactful innovation.\nWhat you'll do:\nArchitect and guide the development of scalable, production-grade machine learning systems integrated into customer-facing and operational products.\nLead end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring.\nDrive innovation in applied ML through advanced modeling techniques such as deep learning, NLP, reinforcement learning, and multimodal approaches.\nMentor engineering teams, influence architectural decisions, and promote technical excellence across ML disciplines.\nCollaborate cross-functionally to align ML solutions with platform strategies and ensure seamless integration with downstream applications.\nEstablish standards for model evaluation, fairness, and responsible AI compliance.\nPublish technical insights and contribute to Walmart’s engineering knowledge base.\nWhat you'll bring:\nExtensive experience designing and architecting scalable, production-grade machine learning systems aligned with business objectives.\nProficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and programming languages including Python, Java, and SQL.\nExpertise in end-to-end ML lifecycle management, including data sourcing, feature engineering, model training, deployment, and monitoring.\nStrong background in advanced modeling techniques, including deep learning, NLP, reinforcement learning, and time series analysis.\nDemonstrated ability to lead technical strategy, mentor engineers, and influence cross-functional collaboration.\nSkilled in ML model validation, hyperparameter optimization, and MLOps best practices.\nExcellent critical thinking and technical writing capabilities to communicate complex concepts clearly.\nAt Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.\nYou will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.\nFor information about PTO, see https://one.walmart.com/notices.\nLive Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. \nEligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. \nFor information about benefits and eligibility, see One.Walmart.\nThe annual salary range for this position is $169,000.00 - $338,000.00\nAdditional compensation includes annual or quarterly performance bonuses.\nAdditional compensation for certain positions may also include : \n- Stock\nㅤ\nㅤ\nㅤ\nㅤ\n\nMinimum Qualifications...\nOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.\nOption 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering, machine learning engineering, AI systems or related area.Option 2: 7 years’ experience in software engineering, machine learning engineering, AI systems or related area.\n2 years’ supervisory experience.\nPreferred Qualifications...\nOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.\nMaster’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.Primary Location...\n815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. 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