Design and evolve a large-scale offline ML platform, building reliable infrastructure for training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale.
Compensation
Base Salary Range: CNY ¥341,000- ¥1,247,000 gross
Responsibilities
Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation
Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train
Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows
Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing
Optimize performance and resource utilization across distributed compute systems used for data processing and model training
Lead engineering teams building secure, high‑performing distributed systems for Visa’s payment acceptance platform.
Compensation
For roles located in the US, the estimated salary range for this position is $219,100.00 to $ 350,800.00 USD per year, which may include potential sales incentive payments (if applicable).
Responsibilities
Lead design, implementation, and deployment of secure, reliable, robust, and interoperable payment acceptance products
Remain hands‑on with architecture, design reviews, code reviews, technical troubleshooting, production readiness, and critical delivery decisions
Provide engineering leadership to ensure solutions align with platform principles, architecture standards, and Visa‑grade availability, resiliency, and operational excellence expectations
Define and execute the technical strategy for payment processing and acceptance platforms
Drive delivery of fit‑for‑purpose products and platform capabilities that improve time‑to‑market while maintaining security, quality, scalability, and reliability
A Senior Solution Engineer role at the intersection of data, AI, and complex enterprise architecture, working with sales teams and partners to deliver demonstrations and proof of concepts.
Locations (2)
North Carolina, United States
South Carolina, United States
Compensation
$220,000 - $288,000 OTE (On Target Earnings = Base Salary + Commission/Quota)
Responsibilities
Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers
Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward
Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)
Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks
Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.
Responsibilities
Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs
Requirements
BS or MS in Computer Science, Software Engineering or related field
A senior leadership role focused on media planning and strategy functions for a major CPG client within the PLUS+ integrated operating model.
Compensation
Compensation Range: USD $180,215.00 - USD $299,637.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation.
Responsibilities
Oversee all Media Planning and Strategy functions for high-profile accounts
Lead a team in the development and execution of integrated media plans
Provide holistic account oversight and strategic vision
Drive industry-leading innovation and data-informed strategy
Lead design, integration, and API strategy for enterprise mortgage technology solutions.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Own the design integration and API strategy (REST/GraphQL/gRPC, event-driven) with clear versioning, security, and lifecycle standards.
Define reusable integration patterns and canonical data contracts aligned to MISMO to ensure consistency and reuse.
Lead design reviews and maintain reference architectures and ADRs across domains, guiding strategic design decisions.
Ensure designs meet non-functional requirements for security, resiliency, performance, scalability, cost, and operability.
Design and oversee Encompass LOS integrations and customizations using Developer Connect, SDK, and plugins.
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