Architect and build scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.
Compensation
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
Responsibilities
Design, develop, and deploy scalable machine learning models and AI systems
Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment
Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions
Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code
Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for the team
Requirements
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience)
The Tech Lead Manager provides technology leadership for ChenMed’s AI software engineering practice, leading a team of Python engineers who design, build, and operate production AI-powered applications.
Responsibilities
Manages, coordinates, plans, and leads a Python-focused AI software engineering team, including analysis, design, development, building and delivery of production AI and agentic applications.
Provides leadership and technical direction by meeting staffing needs through hiring, onboarding, training, coaching, and managing direct reports.
Guides the team’s approach to building and operating Python-based AI agent applications, including orchestration of multi-step LLM workflows, tool and function calling, and integration with upstream and downstream services.
Establishes and enforces modern software engineering practices, including pull-request code review, automated testing (unit, integration, and contract tests), CI/CD pipelines, static analysis, and architecture decision records (ADRs).
Partners with enterprise architecture to ensure AI services align with the organization’s event-driven and distributed systems patterns.
Lead revenue maximization for Warner Music Group’s YouTube team, driving data‑driven insights, performance dashboards, and cross‑functional projects to grow global YouTube presence.
Compensation
Salary Range: $60,000 to $67,000 Annually
Responsibilities
Work directly with team leadership to deliver on annual goals and revenue optimization targets
Drive cross‑functional projects to identify and accomplish high‑impact, revenue‑generating opportunities
Provide strategic, data‑driven insights to global teams and senior leadership
Design and maintain performance dashboards
Conduct performance testing and ad‑hoc data analysis
Design and deploy production-ready AI solutions for remote monitoring and expand AI capabilities across the organization.
Compensation
The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.
Responsibilities
Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Build generative AI applications using large language models, RAG, and natural language processing.
Partner with Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expand AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service.
Build and maintain data pipelines and model infrastructure required for reliable, production-ready AI applications.
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field
As an Electronic Design Automation (EDA) Software Engineer within Altera you will be working on one of the most fascinating technology used in big data centers - The Field Programmable Gate Arrays (FPGA).
Compensation
Estimated Salary Range: $110K – $120K CAD
Responsibilities
Developing high quality C/C++ software code for enabling placement and mapping of peripheral components in FPGAs.
Owning, developing and enhancing tools that automate the Device Modeling of peripheral components of FPGA
Owning the hardware/software co-design architecture of various blocks
Designing and implementing new features based on the hardware/software co-design architecture as well enhancing existing features while maneuvering your way through a huge code base
Owning various analytical/logical/CAD tasks involved in device modeling and compilation of various peripheral components
Requirements
Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science or related field
Developing high quality C/C++ software code for Quartus Prime Pro to support routing, placement and programming of various state of the art peripheral components in FPGAs.
Compensation
Estimated Salary Range: $95K - $100K CAD
Responsibilities
Developing high quality C/C++ software code for Quartus Prime Pro
Owning, developing and enhancing tools that automate the Device Modeling of peripheral components of FPGA
Owning the hardware/software co-design architecture of various blocks
Designing and implementing new features based on the hardware/software co-design architecture
Owning various analytical/logical/CAD tasks involved in peripheral placement
In this role, the Senior Hardware Test Engineer will lead efforts to ensure the quality, reliability, and performance of cutting-edge mechatronic systems in current and next-generation electric vehicle hardware.
Compensation
The salary range for this role is $132,100 - $165,100 for Palo Alto, CA-based applicants.
Responsibilities
Architect, plan, and execute comprehensive hardware test plans including functional, performance, environmental (thermal, vibration, humidity), durability, and safety testing on complex vehicle systems and subsystems.
Lead the architectural design, development, configuration, and integration of automated custom test benches, automated test equipment (ATE), high-fidelity fixtures, and advanced instrumentation.
Oversee hardware bring-up, signal integrity analysis, and advanced system-level debugging of complex electronics assemblies and prototype test systems.
Partner with cross-functional engineering leads, system architects, and lab technicians to provide technical direction and establish testing methodologies.
Implement test set-ups, perform tests, collect results, and maintain appropriate logs.
Lead the design, development, and maintenance of scalable backend services and APIs for Noetica’s document analysis platform, collaborating with AI/ML experts and legal SMEs to deliver high-performance, data-intensive solutions.
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server-side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Design and craft compositional API primitives
Build and maintain integrations with third-party services and internal ML systems
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
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