Principal Machine Learning Engineer, Workday
$204.8-307.2k
Salary applicable to Colorado applicants only and may vary for Canadian applicants
More information about location
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
$204.8-307.2k
Salary applicable to Colorado applicants only and may vary for Canadian applicants
More information about location
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
- You are a highly motivated and experienced machine learning engineer with a strong track record of delivering impactful AI solutions
- You possess a deep understanding of machine learning principles and are passionate about applying them to solve complex problems
- You are a collaborative team player, eager to share your knowledge and mentor junior engineers
- You are comfortable working in a fast-paced environment and are adept at translating business requirements into technical solutions
- You are a proactive problem-solver, constantly seeking to improve processes and optimize performance
- You are a lifelong learner, staying abreast of the latest advancements in the field and eager to contribute to the growth and success of the team
- Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- 7+ years of professional experience in machine learning engineering
- 4+ years experience in designing and implementing machine learning systems in production environments
- 4+ years experience in Python, with expertise in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and others
- 4+ years experience with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services
- Strong understanding of machine learning algorithms, including deep learning, reinforcement learning, and natural language processing
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Experience with MLOps and CI/CD for machine learning
- Expertise in data processing and manipulation using tools like Spark or similar
What the job involves
- We are seeking a highly skilled and experienced Principal Machine Learning Engineer to contribute to the development and deployment of advanced machine learning solutions
- In this role, you will be a technical leader, driving key projects and providing expertise in the design and implementation of robust ML systems
- You will work on complex problems, mentor engineers, and collaborate with cross-functional teams to deliver impactful AI-powered features
- Design, develop, and deploy advanced machine learning models and algorithms
- Contribute to the architectural design and implementation of scalable and robust ML systems
- Analyze large datasets to identify patterns, trends, and actionable insights
- Evaluate and select appropriate machine learning techniques and tools for specific business problems
- Develop and maintain production-ready machine learning pipelines, ensuring high performance and reliability
- Mentor and guide junior machine learning engineers
- Collaborate with product managers, data scientists, and software engineers to define project requirements and deliver solutions
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply them to relevant projects
- Contribute to the development of best practices and standards for machine learning development
- Present technical findings and recommendations to stakeholders
- Design and implement model monitoring and retraining strategies
- Investigate and resolve complex technical issues related to machine learning systems
Application process
- End Date: June 20, 2025
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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