Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, E-commerce, TechnologyIndustries
Requirements
- MS with 5+ years or PhD with 3+ years of relevant industry experience in a quantitative field (e.g., Computer Science, Machine Learning, Operations Research, Statistics, Engineering)
- Expert-level understanding and a proven track record in applying NLP, Machine Learning, Deep Learning, and advanced algorithms to solve real-world problems
- Extensive, hands-on experience in Search, Information Retrieval, and/or Recommendation Systems. Deep familiarity with Generative AI and Large Language Models (LLMs) is highly desirable
- Mastery of Python and SQL, with expert proficiency in ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) and big data ecosystems (e.g., PySpark, Hadoop, Hive) in a cloud environment (GCP, Azure, or AWS)
- A strong track record of publications in peer-reviewed conferences and journals (e.g., NeurIPS, ICML, KDD, SIGIR, WSDM, RecSys) is a significant plus
- Demonstrated ability to mentor junior data scientists and lead complex technical projects
Responsibilities
- Lead and collaborate with data scientists, engineers, and product managers to architect, design, train, and deploy end-to-end machine learning solutions
- Own and drive complex projects with a high degree of ambiguity, translating broad business and product requirements into a clear technical roadmap and concrete ML deliverables
- Architect and implement robust, scalable modeling solutions for novel problems that may have limited or no precedent, demonstrating thought leadership and originality
- Design and champion rigorous offline and online (A/B) testing methodologies, and communicate results and strategic recommendations to executive-level stakeholders and non-technical audiences
- Pioneer the application of bleeding-edge academic research and industry practices, setting the technical direction for the team and mentoring junior scientists on new techniques
- Own the long-term health and performance of production models, driving the strategy for continuous improvement, scalability, and efficiency within a large-scale distributed infrastructure
- Act as a thought leader by publishing research in top-tier internal and external conferences and journals, filing patent applications, and representing the team in technical forums
Skills
Machine Learning
AI
NLP
Optimization
A/B Testing
Scalable Modeling
Distributed Systems
Model Deployment
Data Science
Python
TensorFlow
PyTorch
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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