Senior Machine Learning Engineer (Clinical Team)

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking an experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Analyze data to identify risk patterns and inform the design of machine learning models Build, iterate on, and evaluate models that detect risk and anomalous behavior Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance Document modeling approaches and systems, and apply current machine learning best practices What you should have 4+ years of experience in ML engineering or applied ML roles. Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow. Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production. Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions. A growth

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. This position is US based only. Discord is looking for Senior Data Engineers to join our world class Data team. Data Engineers at Discord work with data science, machine learning, and engineering teams to build the foundational datasets behind our tools, analyses, and models. The data you build directly shapes how we find opportunities, measure success, and make product and business decisions. We are hiring for multiple verticals including Gaming Intelligence and GRC. If this sounds exciting to you and you’re passionate about data, impact, and working on an amazing team, read on! What you will be doing : Own the data models and pipelines for a functional area end to end, from design through implementation and adoption Build and maintain foundational datasets that power analytics, modeling, experimentation, and the dashboards and reports teams rely on Design data architectures for massive, complex data, balancing usability, performance, and cost Partner with data science, ML, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation Build data quality audits at scale, with alerting and anomaly detection where needed Find and act on opportunities to improve pipeline and dashboard performance and cost Drive adoption of your work through documentation and enablement, and share what you learn with teammates What you should have 4+ years of experience building and operating production data pipelines with high volumes of consumer data Strong data modeling skills across structured and unstructured sources Proficiency in SQL and Python, with a focus on correct, performant,

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a highly technical, creative, hands-on, and impact-focused Senior Software Engineer to join our growing Ads team. Our team is revolutionizing the way users interact with our platform through innovative ad formats (including Quests ). We are driven by a passion for delivering exceptional user experiences while scaling our platform to new heights. These products enable us to generate revenue by building a win-win-win suite of distribution tools for game developers, players, and Discord. Join us in shaping the future of digital advertising and marketplace interactions! To learn more about Discord Engineering, take a look at our engineering blog! What you'll be doing Design, build and maintain new Ads products and infrastructure from the backend to frontend. Collaborate with both engineers on and off the team - from Revenue Infrastructure, to Core Tech, to Machine Learning, to Data Science. Be a strategic partner with engineering, product, and cross functional leadership in designing, developing and scaling digital advertising features that drive revenue growth and enhance user engagement. Architect simple and maintainable systems to enable us to launch quickly and iterate while sustaining a high product and technical quality bar. Model strong ownership by acting autonomously when possible and looping in others to build confidence on critical questions. Introduce coding and operational best practices to the team; always be learning & teaching. Own projects end to end — you’ll be responsible for working with Product and other stakeholders to refine requirements, creating technica

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. The Notifications squad is a multidisciplinary group of engineers working across client experiences, infrastructure, and machine learning to make sure every notification Discord sends is high signal and high value. As a Software Engineer on Notifications, you'll own well-defined projects end-to-end, sweat the details of a great user experience, and grow your craft alongside a team that ships reliably and cares deeply about quality. This person will report to the Senior Engineering Manager for Growth. What You'll Be Doing Improve client device experiences for receiving notifications and tailoring notification preferences Build the platform that enables all other teams in the company to send delightful notifications while delivering the maximum value to our users. Pair with Machine Learning engineers to optimize global notification signals and quality. Maintain a high quality bar for our platform’s operational health and client performance Pair with Product and Design leads to find the right solutions that balance delight, speed of delivery and impact What you should have 2+ years of professional software engineering experience Proficiency in one or more of Python, Elixir, or Typescript with eagerness to learn new languages and skills A track record of delivering high quality software reliably and on time Attention to detail and a quality-first mindset: you sweat the right details and catch your own bugs before they reach customers You are motivated to help your team members succeed, grow, and learn from each other through empathetic feedback A customer-focused approach and comfort working toward clear, m

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview As Chief of Staff to the CEO, you will be the strategic nerve center of the entire company — a true force-multiplier to Surojit Chatterjee (ex CPO Coinbase, VP Products at Google). Reporting directly to the CEO and based in Mountain View, CA (full co-location required), you will own the translation of the CEO's vision across Sales, Product, and the full organizational agenda — serving as connective tissue between the CEO and every critical function: EPD, GTM, Finance, HR, Legal, and the Board. This is a senior operating role for someone who has already done it — led strategy at scale, driven GTM at a high-growth technology company, and earned their stripes as an Engagement Manager or Associate Principal at a top-tier consulting firm (McKinsey, BCG, Bain) before stepping into industry. You are not here to learn the ropes; you are here to pull them. Ema is backed by top-tier investors (Accel, Section 32, and Prosus) and is building the Universal AI Employee for enterprises worldwide. This is a high-visibility, high-impact role at one of the most consequential AI companies in the world. Key Responsibilities CEO Leverage & Executive Operations Serve as Surojit's strat

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training