Machine Learning Engineer, Responsible AI

Company: Zoom
Location: Seattle
Posted on: April 2, 2026

Job Description:

What you can expect This position connects AI Research and Production Engineering. Researchers define metrics and policies, while you ensure system scalability, architecture, and reliability. You will write code and mentor engineers to develop advanced safety infrastructure. Lead quality measurement advancements for AI models and systems across products. Design evaluation frameworks emphasizing rigor, scalability, and reliability. Innovate in statistical analysis, machine learning, and experimental methods to deliver actionable insights. Your work will influence product strategies and enhance AI’s large-scale impact. About the Team Trust is a crucial aspect of the Generative AI era. Our goal is to make AI models and products beneficial, safe, and truthful. We develop essential systems for AI safety and reliability, addressing risks like inaccuracies, prejudice, harmful content, and security vulnerabilities on a large scale. 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. What we’re looking for 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 t 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 Qualifications 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. Salary Range or On Target Earnings: Minimum: $177,100.00 Maximum: $387,500.00 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 At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 04/06/26 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.

Keywords: Zoom, Redmond , Machine Learning Engineer, Responsible AI, IT / Software / Systems , Seattle, Washington