Machine Learning Engineering Manager, Workday
CA$147.8-221.8k
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
CA$147.8-221.8k
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
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 8+ years of experience in production-level Software Development
- 3+ years of experience in a technical leadership or management role, leading software engineering teams
- 4+ years of experience in Python, with a consistent track record of shipping production code and systems
- 4+ years of experience building scalable data pipelines and working with large-scale datasets
- 4+ years of experience deploying production services to cloud platforms (e.g., AWS, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps
- MS/PhD degree in a relevant field, such as Computer Science or Engineering
- Strong technical expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development
- Proven ability to guide teams in designing, implementing, and analyzing efficient algorithms for complex problems
- Demonstrated ability to foster the development of flexible, reusable, and well-documented software components, with comprehensive experience in guiding code testing strategies (unit, integration, end-to-end)
- Strong sense of ownership and a proven ability to lead teams to deliver high-quality, finished products efficiently
- Excellent communication, collaboration, and interpersonal skills, with a focus on inspiring team collaboration, mentoring, and driving customer impact
What the job involves
- Join a team of expert machine learning engineers at Workday, where we are at the forefront of applying AI to solve real-world business challenges
- Our team is passionate about innovation and collaboration, working on innovative projects that impact millions of users
- We are a group of highly skilled individuals with a diverse set of backgrounds and expertise, united by a shared commitment to building intelligent systems that empower organizations and individuals
- We foster a culture of continuous learning and growth, providing opportunities to work with the latest technologies and contribute to groundbreaking research
- We are dedicated to building robust, scalable, and responsible AI solutions that enhance the Workday experience
- We value collaboration, open communication, and a spirit of intellectual curiosity, and we are looking for individuals who share our passion for pushing the boundaries of machine learning
- As a Machine Learning Manager, you will lead a high-performing team of software and machine learning engineers focused on architecting, building, and deploying robust, scalable, and performant AI systems within Workday's product ecosystem
- You will be instrumental in guiding your team to transform ML solutions into production-ready systems, with a focus on building a platform for Workday developers and customers to build and deploy AI Agents, encompassing planning, reasoning, and action execution frameworks
- This role requires a unique blend of deep technical expertise in ML systems and a proven ability to lead, mentor, and develop engineering talent
- You will foster an environment of technical excellence, collaboration, and continuous improvement, ensuring your team delivers high-quality, impactful solutions that align with organizational goals
- Drive Agentic AI Platform Strategy & Vision: Guide the architectural design and implementation of scalable, performant Agentic AI platforms and advanced agentic capabilities such as tool calling, supervisor agents, multi-agent architectures, and human-in-the-loop integration. Define technical roadmaps and advocate for MLOps optimal standards
- Build and Operate Scalable ML Platforms: Oversee the design, implementation, and deployment of secure, scalable ML infrastructure, including Python web services and Kubernetes-based runtime architectures. Ensure seamless integration, leverage benchmark cloud deployment practices for robust platform support, and champion comprehensive logging, observability, metrics, and alerting for production systems
- Lead and Develop Your Team: Lead and mentor a high-performing team, fostering career growth, setting clear goals, providing feedback, and ensuring recognition. Cultivate productive connections and empower team members to grow their capabilities
- Drive Multi-functional Collaboration: Drive collaboration with various partners and customers to translate requirements into technical designs. Lead cooperative efforts across project teams, ensuring alignment and successful delivery of impactful solutions and platform support
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
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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