Builds machine-learning forecasting models that help Reddit advertisers estimate campaign outcomes under different budgets, bids, audiences, and objectives; owns end-to-end production ML pipelines for ads forecasting and scenario modeling.
Staff Data Scientist who leads Reddit's Marketing Intelligence strategy, owning the multi-year measurement roadmap, MMM/MTA models, and incrementality experiments that optimize hundreds of millions in B2B advertiser and B2C user growth spend. Works with Python/R, SQL, and machine learning, mentors scientists, and influences C-suite stakeholders on marketing budget allocation.
Lead Reddit's marketing measurement strategy as a Staff Data Scientist, owning MMM/MTA systems, incrementality testing, and causal inference to optimize B2B and B2C marketing spend using Python/R and SQL.
Staff ML Engineer leading Reddit's Ads Retrieval team, designing large-scale candidate generation models (two-tower, embeddings, ANN) using TensorFlow/PyTorch to improve ad relevance for 130M daily users.
Staff Product Manager for Reddit's Ad Formats & Experience team, driving strategy and execution for lower-funnel ad formats, browser/post-click optimizations, and format foundations. Collaborates with engineering, UX, data science, and product marketing to optimize advertiser outcomes and user experience.
Senior Data Scientist on Reddit's Ads team building ML models and statistical solutions to optimize advertiser experience and platform performance, using Python, Spark, and large-scale data analysis.
A Senior Data Scientist on Reddit's Consumer team partners with Product, Engineering, Design, and other stakeholders to shape product strategy through metrics design, A/B testing, causal analysis, and deep data analysis. They build ETLs, dashboards, and self-serve tools using SQL and Python/R, and mentor junior data scientists.
Staff Data Scientist on Reddit's Ads Data Science team, focusing on ads measurement, identity resolution, lift experimentation, and predictive modeling to maximize advertiser value. Uses Python/R, SQL, and advanced statistical methods to design identity graphs, lift methodologies, and signal quality frameworks.
Staff Data Scientist on Reddit's Ads Data Science team, designing probabilistic identity models, advancing lift experimentation, and optimizing signal quality for ad measurement and predictive performance. Requires advanced degree, 6-10+ years experience, deep ads expertise, and proficiency in Python/R, SQL, ML, and causal inference.
Principal Software Engineer leading the orchestration platform (Airflow on EKS) that schedules 8,000+ daily data workflows for Roblox's 200M+ user platform, focusing on scaling, reliability, and developer tooling.
A Software Engineer on Notion's Developer Platform team builds APIs, SDKs, and integration infrastructure that let customers connect apps and automate workflows in Notion. The role uses TypeScript across backend and frontend and requires 7+ years of production software experience.
A two-year graduate programme in Bristol where you’ll build software connecting Graphcore’s ML accelerators with PyTorch and Triton, implementing features, optimising performance, fixing defects, and writing tests and documentation while learning about compilers and runtime software for AI workloads.
Software engineering intern working on drivers and utilities for Graphcore hardware, writing and testing low-level code in C/C++ and Python, maintaining CI, and collaborating with hardware and silicon engineers during a 12-week placement in Bristol.
As a Graduate Software Engineer in System Software QA at Graphcore, you’ll design and run tests for low-level firmware, Linux kernel drivers, and platform tools, investigate defects, and maintain CI pipelines across platforms during a two-year programme.
A graduate software engineer tests AI and machine learning workloads on Graphcore accelerator hardware, creating ML workloads, analysing numerical accuracy and performance, designing tests, and building CI/CD pipelines using Python, C++, Linux, and ML frameworks such as PyTorch, JAX, Triton, or TensorFlow.
Staff Software Engineer on Airbnb's Hosting Services team in London, leading hands-on technical design and development of new host-facing products and third-party integrations across the full stack while shaping architecture and strategy with US-based colleagues.
Position Summary... What you'll do... Role summary: The (USA) Senior Manager, Technology Operations manages key Search, Personalization, and Walmart Connect initiatives, driving execution to maximize customer…
Designs, builds, and deploys production-scale AI solutions (agents, generative AI, ML) at Lumen, partnering with product and engineering to deliver measurable business impact using Python, PyTorch/TensorFlow, MLOps/LLMOps, and cloud AI platforms.
The Data Analyst, Customer Analytics leads end-to-end analytics workstreams for Granicus's in-house digital agency, designing measurement frameworks, dashboards, and reports for government clients using SQL, BI tools, and ETL while mentoring junior analysts.
At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum,…
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