Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries
Requirements
- Deep knowledge and experience in building complex, large-scale, mission-critical machine learning applications with microservice architecture in Kubernetes
- Proven programming skills for end-to-end application and platform development such as Python, Java, ReactJS, LangChain, and related frameworks and libraries
- Expertise in building reliable and highly scalable products from scratch (applying operational excellence)
- Highly resourceful and methodical in solution/architecture/API/codebase design and ability to translate product requirements into engineering blueprint
- Experience with common ML model serving frameworks, especially for NLP & LLM models/applications. Familiarity with GenAI/LLMs and related tooling ecosystem a plus
- Experience developing and maintaining engineering processes and best practices for AI app development, including code reviews, automated testing, performance optimization, and model monitoring
- Exceptional leadership and interpersonal skills, with the ability to synthesize requirements across multiple domains and influence stakeholders/peer teams for strategic alignment
- Strong problem-solving and analytical skills, with an ability to approach problems in a logical and systematic manner
Responsibilities
- Lead the design, development, and implementation of complex machine learning solutions that drive business results
- Mentor junior team members by providing guidance and support to achieve their full potential and improve team efficiency
- Develop and maintain engineering processes and best practices - setting and enforcing high standards for quality, reliability, and security in deployed machine learning solutions
- Work cross-functionally with business, product, data science, front-end engineering, and data engineering teams to ensure alignment and achieve business goals
- Effectively communicate technical work to senior/executive leaders in both technical and non-technical settings
- Stay up-to-date with the latest AI/ML technologies and trends - acting as a thought leader for ML Engineering within the organization and in the broader technical community
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary or compensation for this Distinguished Software Engineer role?
This information is not specified in the job description.
Is this position remote or does it require working from an office?
This information is not specified in the job description.
What skills and experience are required for this role?
Candidates need deep knowledge in building complex, large-scale machine learning applications with microservice architecture in Kubernetes, proven programming skills in Python, Java, ReactJS, LangChain, and related frameworks, and expertise in building reliable, highly scalable products from scratch.
What is the team culture like at APEX?
The Enterprise People Technology team supports GenAI technology deployment across the enterprise, strives to improve associate technology to help managers and associates focus on customers, and is part of a compact, robust organization within Walmart Global Tech.
What makes a strong candidate for this Distinguished Software Engineer position?
A strong candidate will have experience leading complex ML solutions, mentoring junior team members, developing engineering best practices, working cross-functionally, communicating to executives, and staying current with AI/ML trends, along with the specified technical expertise.
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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