Senior Analytics Engineer, Workday
AI-ML
$186.6-279.9k
More information about location
Office located in Pleasanton, CA
Enterprise management cloud platform
Job no longer available
Enterprise management cloud platform
1001+ employees
Job no longer available
$186.6-279.9k
More information about location
Office located in Pleasanton, CA
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- We are looking for an Analytics AI/ML Engineer who combines deep technical expertise in machine learning with strong engineering fundamentals
- If you have a passion for developing production-ready ML systems and the technical skills to build scalable AI solutions from the ground up, we would love to hear from you
- 3+ years of hands-on experience building and deploying machine learning models in production environments
- 5+ years of software engineering experience with focus on data-intensive applications
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or equivalent work experience
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with big data processing frameworks (Spark, Kafka) and distributed computing
- Proven experience with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes)
- Tried understanding of statistical analysis, time series analysis, and anomaly detection techniques
- Experience with real-time ML inference systems and streaming data processing
- Familiarity with cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML)
- Experience with feature stores, model registries, and ML experiment tracking
- Knowledge of data visualization and monitoring tools (Grafana, Prometheus, Superset)
- Strong understanding of software engineering standard methodologies including version control, testing, and CI/CD
- Proven business acumen to identify opportunities where AI/ML can drive operational efficiency and incident triaging
- Experience with SQL and NoSQL databases for ML feature storage and retrieval
- Excellent interpersonal skills to collaborate with multi-functional teams and explain technical concepts to non-technical collaborators
- Self-motivated with ability to work independently and drive projects to completion
What the job involves
- The Data Platform and Observability Engineering team, located in Pleasanton, CA; Boston, MA; Atlanta, GA and Dublin, Ireland, is vital to enabling real-time insights across Workday's platforms, infrastructure, and applications
- We're committed to developing large-scale distributed data systems that support crucial Workday applications
- Our team provides software for the collection, ingestion, storage, analytics, and visualization of critical data assets
- We lead hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services
- This engineer will play a crucial role in building and deploying AI/ML solutions that transform our operational data into intelligent insights
- Design and implement machine learning models for anomaly detection, predictive analytics, and root cause analysis to support faster insights for Workday's systems observability
- Develop correlation engines using complex ML algorithms to identify patterns and relationships in sophisticated multi-dimensional datasets
- Create and optimize feature engineering pipelines that transform raw observability data into actionable ML features
- Implement and deploy ML models for service outage prediction, performance optimization
- Connecting data to the actionable model output that will help with reducing our MTTD/MTTR
- Build intelligent agentic systems that can autonomously monitor, diagnose, and recommend remediation actions for system health and performance issues
- Design and implement LLM-powered solutions for automated log analysis, incident analysis, and natural language querying of observability data
- Collaborate with data engineers to design ML-optimized data schemas and storage solutions
- Develop real-time inference systems that can process high-velocity streaming data with low latency
- Research and prototype next-generation AI techniques including deep learning, time series forecasting, and unsupervised learning methods
- Work closely with analytics leaders and product teams to translate business requirements into technical ML solutions
- Contribute to the development of internal ML platforms and tools that enable self-service AI capabilities
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
- 401k plan
- On-site health clinic (Pleasanton office)
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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