As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.

Responsibilities:

• Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.

• Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.

• Collaborate closely with Client Account Managers to gain a deep understanding of clients' campaign setups, measurement stack and performance goals, as well as collaborate closely with Product & PMM.

• Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.

• Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.

• Leverage measurement results to drive sales impact - developing benchmarks, case studies, media & creative best practices, and refinement/optimization to our audience and targeting strategy to improve efficiency and effectiveness.

• Partner with Sales, Marketing, and Brand Strategy to develop compelling storylines that highlight opportunities for Reddit advertisers and our competitive advantage.

• Join key client meetings as a subject matter expert to provide technical guidance and objection handling.

• Develop and support our go-to-market teams in EMEA with your measurement expertise, industry knowledge, and insights specific to market nuances.

• Support the execution of innovative primary research that amplifies our narrative and value proposition to advertisers, and the development of insights products that position Reddit as a curator of business-critical learnings to advertisers.

Required Qualifications:

• A data-driven storyteller that’s passionate about measurement to inspire and drive action.

• 5+ years in ad research or ad tech – at a research vendor, media owner, client or agency partner.

• You are familiar with the ad measurement landscape and the primary vendors, products, and services that advertisers use to measure performance & brand - and how it all works from a technical perspective.

• A knowledge of experimentation and familiarity with the underlying statistical methods.

• Expertise in these three areas of measurement across verticals:

• Reach: impressions, viewability, on-target percentage, brand safety, etc.

• Resonance: brand awareness, consideration, intent, etc.

• Reaction: attribution, conversion, sales lift, tune-in, foot traffic, etc.

• Experience optimizing toward DR focused KPIs, as well as knowledge of holistic media planning to support brand awareness and performance campaigns in tandem.

• Experienced in executing incrementality testing, developing test+learn agendas and working with engineering + product teams on advanced measurement cases.

• You have a strong background in the execution, analysis, and presentation of quantitative advertising research.

• Proven ability to weave primary research, 1st party platform data, and 3rd party/syndicated research together into a cohesive and compelling story of strategic importance.

• Experience working with measurement vendors to bring new services and capabilities to life at a technology company.

• Exceptional written and oral communication skills – you’re articulate and engaging.

• Motivated self-starter who thrives in unstructured environments on an evolving team.

• BA/BS degree

XML job scraping automation by YubHub

San Mateo, CA, United States

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

You Will

As a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks:

Track 1: AI Platform Projects

• Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.
• Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
• Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.

Track 2: Distributed Inference & Systems Optimization

• Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.
• Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.

Track 3: Information Retrieval & RAG for Gen AI

• Lead the design and development of Retrieval-Augmented Generation (RAG) systems.
• Build and maintain core information retrieval infrastructure—vector databases and knowledge graphs—to enable accurate grounding of Gen AI models.
• Ship language models and 3D objects as a service for the Roblox community, making creation easier.

You Have

• Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
• Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.
• Expertise in one or more of the following key areas:
• AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.
• LLMs - Fine tuning, Safety.
• Agentic systems - Agent evaluation, context engineering.

• Experience building agentic applications with context for real world applications.
• Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.
• Experience with graph databases and large-scale GNNs (Graph Neural Networks)
• Experience working with Kubernetes
• Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)
• Experience working with high availability systems
• Experience working with ML models, LLMs or other AI systems

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

As you apply, you can find more information about our process by signing up for Speak\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$195,780—$242,100 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

XML job scraping automation by YubHub