Machine Learning Engineer Manager

Zoom; United States; Hybrid; USD 214,000 - 332,000; Full time

Job summary

Zoom Communications, Inc. is seeking a Machine Learning Engineer to lead the GenAI Engineering team in developing and enhancing AI algorithms for the AI Companion product. The role focuses on architecting scalable runtime services, multi-turn reasoning, and production-grade LLM orchestration.

You will mentor a distributed team of researchers and engineers, set technical directions, and collaborate with product and infrastructure teams to achieve strategic AI goals for enterprise-grade solutions.

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Distributed Systems, or related field (or foreign degree equivalent).
• 5+ years of experience in Python, C, C++, or CUDA.
• 5 years building scalable software systems.
• 5 years using PyTorch and TensorFlow.
• 5 years deploying ML models and handling requests with databases like DynamoDB, MongoDB, MySQL and Elasticsearch.
• 5 years using authentication mechanisms (Asymmetric JWT, AWS KMS/CSMS).
• 5 years deploying ML workflows in a Docker/Kubernetes microservice environment (AWS EKS) and ZCP, with Python/Java.
• 5 years working with data technologies such as Spark/Databricks/SQL.
• Telecommuting work arrangement permitted across the U.S.

Responsibilities

• Architectural leadership for ZVA and AIEA runtime services.
• Lead and mentor a distributed team across regions.
• Drive technical roadmap for ZVA AI and AIEA runtime services.
• Collaborate with product, research, and infra teams to align AI capabilities with business goals.

Skills

Python

C

C++

CUDA

PyTorch

TensorFlow

LLM prompts

Education

Bachelor's degree in Computer Science / ML / DS

Tools

DynamoDB

MongoDB

MySQL

Elasticsearch

Docker

Kubernetes

AWS EKS

ZCP

Job description

Immigration sponsorship is not available for this position

What you can expect:

As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You’ll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you’ll be part of a dynamic team dedicated to achieving groundbreaking results in agentic AI.

Responsibilities:

• Architectural Leadership
  • Design and evolve the architecture of ZVA and AIEA runtime services to ensure scalability, reliability, and performance.
  • Define and implement the agent runtime framework that supports multi-turn conversation understanding, contextual reasoning, and intelligent response generation.
  • Collaborate with cross-functional teams to integrate LLM-based reasoning and action orchestration into production systems.
• Team Management
  • Lead and mentor a distributed team of AI researchers, software engineers, and system architects across multiple regions.
  • Foster a culture of innovation, collaboration, and technical excellence.
  • Oversee project planning, resource allocation, and performance management to ensure timely delivery of high-quality solutions.
• Technical Strategy and Innovation
  • Drive the technical roadmap for ZVA AI and AIEA runtime services in alignment with organizational goals.
  • Evaluate emerging AI technologies and frameworks to enhance the team’s capabilities in conversational AI and agent intelligence.
  • Ensure best practices in model deployment, runtime optimization, and system observability.
• Cross-Functional Collaboration
  • Partner with product, research, and infrastructure teams to align AI capabilities with business objectives.
  • Communicate technical vision and progress to stakeholders and leadership teams.
  • Promote knowledge sharing and technical alignment across global engineering teams.

What we’re looking for:

Required a bachelor’s degree Computer Science, Machine Learning, Distributed Systems, a related field, or a foreign degree equivalent. Requires 5 years of experience in job offered or related occupation. Must have 5 years of experience in the following:

• 5 years of experience utilizing programming languages Python, C, C++, or CUDA;
• 5 years of experience building scalable software systems;
• 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow;
• 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch;
• 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS;
• 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java;
• 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL.
• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

Zoom Communications, Inc.
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Salary Range or On Target Earnings:

Minimum:

$214,080.00

Maximum:

$332,200.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations.

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.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

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.

Think of this opportunity as a marathon, not a sprint! We’re building a strong team at Zoom, and we’re looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it’s a good fit for your career goals. We continuously review applications, so submit yours whenever you’re ready to take the next step.

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