Description
We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack.
Key Responsibilities:
- Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
- Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
- Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
- Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
- Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
- Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
- Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
Basic Qualifications:
- 3+ years experience as a member of a data science, machine learning / AI engineering, or other relevant software development team building applied machine learning products at scale.
- 2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries.
- 1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface.
- 1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms.
- 1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases.
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent.
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. Primary Location: CAN.BC.Vancouver Primary CAN Base Pay Range: $100,000 - $150,000 CAD