Machine Learning Engineer

What you can expect

Join our Workforce Engagement Management (WEM) team to solve real-world challenges at scale using cutting-edge AI/ML techniques. We're looking for a passionate and experienced AI/ML professional. You will play a key role in building GenAI-powered forecasting, scheduling, and adherence solutions. Drive the development of intelligent WEM systems by integrating LLMs, time-series models, and optimization engines to revolutionize how workforce operations are managed. Join a dynamic team dedicated to achieving groundbreaking results.

About the Team

Work on impactful AI projects involving GenAI, LLMs, time-series forecasting, and scheduling optimization, AI Role Play.
Design and deploy LLM-based applications to drive insights in forecasting, and scheduling.
Collaborate with cross-functional teams (product, ops, and engineering) to deliver seamless AI integrations.
Fine-tune, prompt-engineer, and orchestrate LLM pipelines to solve real-world forecasting and adherence challenges.
Develop smart forecasting and scheduling engines that can adapt and learn from operational data.

What we’re looking for

• Bachelor’s/Master’s/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.

• 4–6 years of hands‑on experience in AI/ML engineering roles.

• Have programming skills in Python, with knowledge of software engineering best practices including data manipulation libraries like Pandas and NumPy for preprocessing and feature engineering.

• Have experience with ML frameworks such as Scikit‑learn, TensorFlow, or PyTorch.

• Solid understanding of time‑series preprocessing, feature engineering, and forecasting algorithms (Prophet, SARIMAX, LSTM, Exponential Smoothing, etc.). Have experience with optimization tools like CP‑SAT or Google OR‑Tools. Background in NLP and transformer‑based models.

• Have experience with LLMs, fine‑tuning, Prompt engineering, Context engineering, MCP and Agentic AI frameworks (e.g., LangChain, CrewAI etc).

• Experience with Git, CI/CD, and scalable deployment practices.

• Have experience with workforce management software.

• Experience with MLOps tools like SageMaker or MLflow is a good to have / added advantage.

Responsibilities

• Design and optimize AI/ML algorithms for WEM use cases.

• Leverage time‑series analysis and optimization frameworks (e.g., CP‑SAT) for forecasting and scheduling.

• Engineer and tune LLM prompts and workflows to enhance scheduling and forecasting insights.

• Develop evaluation frameworks and feedback loops to optimize ML model and agent performance.

• Build and optimize infrastructure for distributed model training across multi‑node, multi‑GPU clusters.

• Collaborate with teams for seamless integration of AI/ML features into production systems.

• Contribute to design reviews, technical discussions, and code quality standards.

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Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In‑Person is indicated in the job description/posting.

Benefits

As part of our award‑winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work‑life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem‑solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth‑focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non‑accommodation‑related requests, such as application follow‑ups or technical issues, will not be addressed.

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