Zoom · 11 hours ago
Staff Machine Learning Engineer, Responsible AI
Seattle (WA)
Full-time
Hybrid
Lead/Staff
$177K/yr - $388K/yrZoom Communications is seeking a Staff Machine Learning Engineer specializing in Responsible AI. This role connects AI Research and Production Engineering, focusing on system scalability, architecture, and reliability while leading quality measurement advancements for AI models and systems across products.
CollaborationInformation TechnologyMessagingSaaSVideo Conferencing
Responsibilities
Developing an Assessment Methodology and Strategy: Establishing a comprehensive approach to evaluate AI quality, safety, and alignment across various product modalities. Designing an Evaluation Framework: Creating a strategy to define key performance metrics and safety parameters for AI models in diverse applications. Identifying Systemic Risks: Proactively detecting potential failure modes like hallucinations, bias, and vulnerabilities in applications of language models. Designing Risk Evaluation Protocols: Establishing systematic methods to measure and address identified risks in AI applications. Providing Strategic Technical Guidance: Conducting analyses to determine whether to develop or procure evaluation tools for optimal performance. Integrating Advanced Evaluation Techniques: Staying updated with cutting-edge methods to ensure effective and accurate AI model assessments
Creating a scalable evaluation infrastructure involves designing and managing a modular system supporting offline benchmarking and online monitoring. Ensuring compatibility across various AI product lines is essential. Integrating automated quality gates into the CI/CD pipeline guarantees that all model deployments comply with predefined quality and safety standards before production. Building a framework for extensive A/B testing and online experimentation validates the practical effects of model adjustments and safety mechanisms
Ensuring engineering excellence and technical guidance, this role involves serving as the primary authority for AI evaluation and technical decision-making. Establishing clear technical roadmaps, the individual translates product requirements into actionable plans and leads the team through intricate system designs. Creating organizational standards, this role oversees AI quality by promoting the use of RFCs, design reviews, and best practices for data labeling and model versioning. Guiding talent development, the position focuses on mentoring team members while encouraging continuous learning and thorough peer evaluations
Qualification
Required
Possess an academic and professional background in computer science or machine learning, with extensive experience designing large-scale AI or distributed systems
Have Engineering Excellence: Expert-level software development skills with a focus on system architecture, code maintainability, and building robust production services
Demonstrate AI/ML Domain Depth: Deep understanding of the LLM lifecycle and the unique challenges of evaluating non-deterministic systems (Quality, Safety, and Alignment)
Need to have experience scientific Rigor: Solid foundation in statistical analysis and experimental design (A/B testing) to validate model interventions and product quality
Demonstrate AI Infrastructure: Deep experience with PyTorch and the Hugging Face ecosystem (Transformers, Datasets)
Have inference & Serving: Proficiency in high-throughput inference engines (e.g., vLLM, SGLang, or TensorRT-LLM)
Need to have core Languages: Expert-level Python; proficiency in high-performance languages such as Go, C++, or Java
Demonstrate expertise in CI/CD patterns, automated testing frameworks, and large-scale data processing pipelines for engineering systems
Leverage knowledge of cloud-native infrastructure and distributed system monitoring to support production AI services effectively
Preferred
Technical Leadership: Proven ability to define long-term technical roadmaps, drive organizational alignment on engineering standards, and mentor senior talent
Advanced Applied ML: Experience in high-performance model optimization and the deployment of sophisticated evaluation methodologies in production
AI Quality & Excellence: Deep domain expertise in AI alignment and reliability, with a focus on benchmarking and elevating model performance across diverse applications
Benefits
Physical, mental, emotional, and financial health
Support work-life balance
Contribute to their community in meaningful ways
Company
Zoom
Zoom is a software company that offers a communications platform that connects people through video, voice, chat, and content sharing.
Founded in 2011
5001-10000 employees
H1B Sponsorship
Zoom has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (178)
2023 (144)
2022 (259)
2021 (86)
2020 (34)
Funding
Current Stage
Public CompanyTotal Funding
$276MKey Investors
ARK Investment ManagementSequoia CapitalEmergence Capital
2021-11-04Post Ipo Equity· $130M
2019-04-19Post Ipo Equity
2019-04-18IPO
Leadership Team
Eric Yuan
Founder & CEO
Xuedong Huang
Chief Technology Officer
Recent News
2026-02-06
2026-02-05
2026-02-05
Company data provided by crunchbase