Machine Learning Engineer
Not Disclosed•Full-TimeHybrid
location_on301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
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.
Hiring Process
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.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
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.
Note: Immigration sponsorship is not available for this position.
Work location
Work model: Hybrid
301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
Seattle, Washington
Key Responsibilities
- check_circleDesign, implement, and optimize GenAI algorithms to address complex business challenges
- check_circleCollaborate with cross-functional teams to integrate research findings into scalable engineering solutions
- check_circleParticipate in code reviews, design discussions, and technical presentations to ensure solution quality
- check_circleIdentify opportunities to enhance system performance, scalability, and reliability
- check_circleStay current with GenAI research and engineering developments to improve technical capabilities
- check_circleBuild scalable, maintainable, and production-ready machine learning systems
- check_circleAnalyze data and troubleshoot issues related to deployed AI systems
Requirements
- verifiedBachelor's degree in Computer Science, Computer Engineering, related field, or foreign equivalent
- verified3 years experience in job offered or related occupation
- verified3 years experience in Python, C, C++, or CUDA
- verified3 years experience in PyTorch and TensorFlow
- verified3 years experience presenting AI projects
- verified3 years experience collaborating with cross-functional teams
- verified3 years experience in Agentic AI, LLM agents, agentic RAG
- verified3 years experience building scalable ML systems
- verified3 years experience analyzing data and troubleshooting deployed AI systems
- verifiedMaster's degree in Computer Science, Computer Engineering, related field, or foreign equivalent
Benefits & Perks
check_circleTelecommuting work arrangement permitted one day per week
Similar Job Opportunities
Skills, education and keywords
Skills: Python, C, Cuda, Pytorch, Tensorflow, Agentic Ai, LLM Driven Ai Agents, Agentic Rag, Machine Learning.
Education: Bachelor's in Computer Science or related field required, or Master's degree with less experience; Master's in Computer Science or related field accepted as alternative to Bachelor's.
Frequently asked questions about Machine Learning Engineer at Zoom
What does a Machine Learning Engineer at Zoom do?expand_more
A Machine Learning Engineer at Zoom is responsible for the following: Design, implement, and optimize GenAI algorithms to address complex business challenges; Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions; Participate in code reviews, design discussions, and technical presentations to ensure solution quality; and Identify opportunities to enhance system performance, scalability, and reliability.
What are the requirements for this Machine Learning Engineer role?expand_more
To qualify for the Machine Learning Engineer at Zoom position, applicants should have: Bachelor's degree in Computer Science, Computer Engineering, related field, or foreign equivalent; 3 years experience in job offered or related occupation; 3 years experience in Python, C, C++, or CUDA; 3 years experience in PyTorch and TensorFlow; 3 years experience presenting AI projects; and 3 years experience collaborating with cross-functional teams.
Where is the Machine Learning Engineer role at Zoom located?expand_more
Machine Learning Engineer at Zoom is based in 301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States. This is a hybrid role.
Is this Machine Learning Engineer job remote, hybrid, or on-site?expand_more
Zoom has listed this Machine Learning Engineer role as hybrid.
How much experience is required for this Machine Learning Engineer role?expand_more
Machine Learning Engineer at Zoom typically requires 3+ years of relevant experience at the mid level level.
What skills do you need for the Machine Learning Engineer role at Zoom?expand_more
Key skills for Machine Learning Engineer at Zoom include Python; C; Cuda; Pytorch; Tensorflow; Agentic Ai; LLM Driven Ai Agents; and Agentic Rag.
What education is required for Machine Learning Engineer at Zoom?expand_more
Educational requirements for this role: Bachelor's in Computer Science or related field required, or Master's degree with less experience; and Master's in Computer Science or related field accepted as alternative to Bachelor's.
What category does the Machine Learning Engineer role belong to?expand_more
Machine Learning Engineer at Zoom is part of the it job category on Recrutus.