Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, E-commerce, TechnologyIndustries
Requirements
- Proven expertise in building and deploying production-grade ML solutions at scale, preferably in e-commerce, search, or recommendation systems
- Hands-on experience with generative AI, including LLMs, RAG systems, and autonomous agent frameworks
- Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow)
- Deep understanding of ML engineering principles, including data pipelines, model training, and serving infrastructure
- Familiarity with vector databases or related technologies (inferred from truncated "Familiarity with vec")
Responsibilities
- Design, build, and deploy large-scale, production-grade ML systems, including deep learning models, real-time inference services, and end-to-end ML pipelines for generative shopping agents
- Implement advanced techniques like Retrieval-Augmented Generation (RAG) to provide agents with a comprehensive understanding of long-term customer history, preferences, and intent, as well as short-term session context
- Champion the use of multimodal data (text, images, user behavior, contextual signals) to power hyper-personalized recommendations, product discovery, and proactive customer engagement
- Participate in medium- to large-scale, complex, cross-functional projects by reviewing project, product and business requirements; translating requirements into technical solutions; gathering requested information (for example, design documents, product requirement); designing robust and scalable architectures; writing and developing code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with cross functional teams; troubleshooting open issues and bug-fixes; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery
Skills
Machine Learning
Deep Learning
Reinforcement Learning
Natural Language Processing
Probabilistic Models
Big Data
Entity-Relationship Extraction
Knowledge Representation
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
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