Principal Machine Learning Engineer - Evisort AI at Workday

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Enterprise Software, AIIndustries

Requirements

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models
Approach of continuous improvement, passion for quality, scale, and security
Curious and prepared to question or challenge choices and practices where they don't make sense or could be improved
Product approach and strong intuition around how ML can drive a better customer experience
Strong sense of ownership and teamwork

Responsibilities

Help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem
Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
Develop and deploy new products at scale
Leverage Workday’s vast computing resources on rich datasets to deliver transformative value to customers
Contribute to feature and service development

Skills

Machine Learning

NLP

Document Intelligence

Contract Intelligence

Workday

Cloud applications for finance and HR management

About Workday

Workday provides enterprise cloud applications that focus on finance and human resources for medium to large-sized businesses across various industries. Its main products include Workday Human Capital Management, Workday Financial Management, Workday Adaptive Planning, and Workday Student, which help organizations manage their workforce and streamline financial operations. The software operates on a subscription model, allowing clients to pay a recurring fee based on the number of users and specific modules needed. This model supports continuous updates and improvements to the software. Workday stands out from competitors due to its strong emphasis on customer satisfaction and employee engagement, offering tools like Workday Peakon Employee Voice to enhance workforce experience. The company's goal is to provide essential tools that improve operational efficiency and support businesses in managing their human resources and financial operations effectively.

Pleasanton, CaliforniaHeadquarters

2005Year Founded

$209.4MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Performance Bonus

Stock Options

Professional Development Budget

Conference Attendance Budget

Risks

Emerging HR tech startups like Buk could challenge Workday's market share.

Dependency on third-party platforms like Udemy may complicate service delivery.

Strategic shifts under new leadership could disrupt existing customer relationships.

Differentiation

Workday is a leader in cloud-based HCM and ERP solutions for large enterprises.

The company offers a subscription model ensuring steady revenue and continuous software updates.

Workday's focus on employee engagement tools like Peakon sets it apart in the market.

Upsides

Increased demand for cloud HCM solutions boosts Workday's market potential.

AI-driven analytics enhance Workday's financial management offerings with predictive insights.

Workday's partner ecosystem expansion, like with MetLife, opens new customer opportunities.

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