Staff Machine Learning Engineer building advanced ML models (DNNs, transformers) for Reddit's Ads Ranking system, focusing on app ads modeling, feature engineering, and large-scale recommendation systems using TensorFlow/PyTorch.
Senior Product Manager owning Reddit's Shopping Product Catalog, the single source of truth for paid/organic product data. Leads catalog onboarding, LLM-based enrichment, ad overlays, and the Universal Catalog/Applied PKG platform, partnering with engineering, content understanding, and shopping teams to drive ROAS and product discovery.
Senior Staff ML Systems Engineer leading technical strategy for Reddit's Ads ML Platform, focusing on feature development, training data, offline experimentation, and model iteration workflows using distributed systems like Spark, Flink, Kafka, and Kubernetes.
Staff Android Engineer leading video ad format development for Reddit's Brand Ad Formats team, building scalable, high-performance Android ad experiences using Kotlin and modern architecture, with focus on video ads, interactive formats, and AI-driven features.
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.
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.
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.
Lead Software Engineer in Salesforce's new AI Labs unit, owning the full product lifecycle from prototyping to shipping customer-facing AI services and tools. Works with cloud deployments (AWS/GCP/OCI), APIs, databases, and AI/ML technologies, and embeds with customers to solve real problems.
Senior Software Engineer at Roku in Manchester building scalable web applications and AI-powered features (RAG, chatbots) using TypeScript, React, Node.js on AWS/GCP, working in a cross-functional team with CI/CD and observability practices.
Senior SRE role at Salesforce Dublin building AI-driven automation, observability, and self-healing systems for large-scale cloud services. Requires Python/Go expertise, Kubernetes, workflow engines (Temporal/Airflow), and production SRE experience with SLIs/SLOs, incident management, and AI/ML ops tools.
Senior Software Engineer building and operating Roblox's data compute platform on Kubernetes (EKS) for Spark workloads, including job submission, interactive notebooks, cluster automation, and scheduling at petabyte scale.
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.
Builds and improves enterprise evaluation environments and agent tooling for Perplexity's LLM-based agents, measuring task success across connectors and workflows while improving model routing, tool use, and efficiency. Hands-on with Python/Go/Rust on agent harnesses, evaluations, and cost/latency optimization.
Senior Data Engineer (12-month contract) building and migrating data pipelines to Databricks Lakehouse (dbt, Looker) for a fintech platform serving 200+ banks; owns ingestion, replication, data contracts, and on-call for pipeline health.
Staff Software Engineer (AI Compute, Together Cloud) at Together AI in Amsterdam. Sets technical direction and builds major components of the AI cloud platform — GPU/network virtualization, in-DC IaaS, Kubernetes operators, and the global management plane scheduling capacity across dozens of data centers — while mentoring engineers and defining standards for the Together GPU Clusters IaaS product.
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.
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.
Designs and builds test infrastructure and CI/CD pipelines that validate Graphcore’s machine learning stack and AI accelerator hardware, using C/C++ and Python on Linux to create scalable frameworks, ML workloads, and reliable testing across simulators, emulators, and physical hardware.
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