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, TechnologyIndustries
Requirements
- Strong senior level engineering leadership expertise in medium to large size technology companies with focus on ML infrastructure, data platforms, or search systems
- 12+ years of total experience of which 8+ years in ML infrastructure, data platform engineering, or platform development with hands-on technical contributions
- 12+ years of hands-on experience with data pipeline technologies (Apache Kafka, Apache Spark, Apache Flink, Apache Airflow), distributed data processing, and real-time streaming systems
- Expert-level hands-on experience with ML model serving infrastructure (TensorFlow Serving, MLflow, Kubeflow), feature engineering platforms, and multi-tenant ML operations at scale
- Extensive experience with containerization technologies
Responsibilities
- Provide guidance and lead a team of data platform engineers and ML engineers to build quality ML infrastructure solutions that process omni-channel engagement data, serve ML models at scale, and enable sophisticated evaluation and experimentation frameworks
- Ensure Software Quality Engineering by keeping the engineers up to date on best practices for ML operations, automated testing for data pipelines and ML systems, comprehensive monitoring and alerting, and taking a proactive approach to production ML infrastructure support
- Develops and implements ML platform development strategies using Agile development processes by using iterative and incremental development processes; collaborating between self-organizing, cross-functional teams for requirements and solutions; and promoting adaptive planning, evolutionary development and delivery for rapid and flexible response to changing ML and data science needs
- Drive the execution of multiple ML infrastructure initiatives and projects by identifying data science team pain points and operational needs; developing and communicating technical roadmaps and priorities; removing barriers and obstacles that impact ML model deployment speed; providing resources and technical guidance; identifying performance standards for data pipelines and ML systems; measuring progress and adjusting performance accordingly; developing contingency plans for production ML systems; and demonstrating adaptability and supporting continuous learning
- Work closely with data science teams, search engineering leads, international market stakeholders, and Product teams to ensure ML infrastructure work is aligned with business objectives and accelerates ML model time-to-market
- Own end-to-end ML infrastructure including parsers/stitchers for omni-channel data, multi-tenant data pipelines, feature engineering platforms, model serving infrastructure, evaluation systems (including site crawling, query sampling, NDCG evaluation), and experimentation frameworks
Skills
ML Infrastructure
MLOps
Data Pipelines
ML Serving
Evaluation Platforms
Experimentation Frameworks
Automated Testing
Monitoring
Alerting
Agile
Software Engineering
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.
Related Jobs
RemoteRemoteDirector of Engineering
CSC GenerationSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteSr. Manager, ML Platforms (Remote)
CrowdstrikeSalary not specified
RemoteSenior AI Infrastructure Engineer
TetraScienceSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteVP of Revenue Operations
Rad AISalary not specified
RemoteLead Data/ML Engineer
SupersideSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
RemotePrincipal Software Engineer, ML Infrastructure
MotionalSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteSpecialist Architect - Data Engineering/ML
Snowflake$134,000 - $187,400/year
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Software Engineer, ML Infrastructure
MotionalSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteAI / ML Platform Engineer
WhatNotSalary not specified
RemoteEngineering Manager, Data & AI
ChowNowSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteEngineering Manager, ML Platform
RunwaySalary not specified
RemoteSenior Engineering Manager- AI/ML
AledadeSalary not specified
- Full Time
- Expert & Leadership (9+ years), Senior (5 to 8 years)