Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Architect and develop cutting-edge AI solutions that transform enterprise data and enhance user experience.
- Company: Join Workday, a leader in AI technology with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonus potential, stock grants, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI development and make a significant impact in the tech industry.
- Qualifications: 3+ years in ML systems, strong Python skills, and experience with NLP and deep learning.
Join the AI Platform team at Workday, a leading AI platform for managing people, money, and agents. This role focuses on the Agent Evaluation Platform, the 'Ground Truth' engine for Workday's AI transformation, and Information Retrieval products that bridge human language, search, and enterprise data. You will develop next-generation collaborative products and work with exclusive, high-integrity enterprise datasets.
Responsibilities:
- Architecting Agentic AI
- Driving Meta-ML and optimization
- Advancing information retrieval
- Scaling evaluation and observability
- Leading the ML lifecycle
- Defining strategic roadmaps
Qualifications:
- 3+ years of experience researching, developing, and deploying production-grade ML systems (deep learning, NLP, IR, recommender systems) using PyTorch or TensorFlow
- Proven track record of building and evaluating NLP and LLM-powered products (RAG, agentic frameworks, long-context LLM applications)
- 2+ years of Python experience with a focus on modular library design, asynchronous patterns, and scalable system architecture
- Advanced degree (Master's or Ph.D.) in a quantitative field or strong portfolio of peer-reviewed research publications
- Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing
- Experience in A/B testing, Knowledge Graphs, and 'Golden Dataset' curation
- Proficiency in large-scale data processing (PySpark, SQL)
- Hands-on experience with the full ML lifecycle, including model fine-tuning, evaluation frameworks, and cloud-native deployment
- Demonstrated ability to lead cross-functional teams and mentor junior engineers
Compensation:
Primary Location Base Pay Range: $160,000 USD - $240,000 USD
Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USD
Potential eligibility for Workday Bonus Plan or role-specific bonus, and annual refresh stock grants.
Machine Learning Engineer III employer: ChatGPT Jobs
Contact Detail:
ChatGPT Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer III
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML systems, NLP, or any relevant tech. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying!
We think you need these skills to ace Machine Learning Engineer III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML systems, especially in deep learning and NLP, and don’t forget to mention any relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with the responsibilities of the role. Be sure to mention your experience with PyTorch or TensorFlow.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to include them! Whether it's a personal project or something from your previous job, showcasing your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at ChatGPT Jobs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially PyTorch, TensorFlow, and Python. Brush up on your knowledge of deep learning, NLP, and information retrieval systems. Being able to discuss your past projects and how you applied these technologies will show your expertise.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of machine learning concepts and practices. Be ready to explain your approach to building and evaluating ML systems, as well as your experience with A/B testing and model fine-tuning. Practising coding problems related to ML can also give you an edge.
✨Showcase Your Collaborative Spirit
Since this role involves leading cross-functional teams, be prepared to discuss your experience working collaboratively. Share examples of how you’ve mentored junior engineers or worked with other departments to achieve a common goal. This will highlight your leadership skills and ability to work well with others.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face, or how they measure success in their AI initiatives. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.