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Senior frontend engineer on Reddit's Ads Creative & Recommendations team, owning the technical design and delivery of advertiser-facing features in Ads Manager (creative and recommendation workflows). Core stack is JavaScript, TypeScript, and React, working alongside product, design, data science, and ML.
Staff-level machine learning engineer on Reddit's Ads Ranking Org, designing and training deep learning models (DNNs, transformers) for ads ranking — building embeddings, contextual/cross-session features, and conversion-optimized modeling, plus mentoring other MLEs. Fully remote within the United States.
Senior iOS engineer on Reddit's Consumer Engineering team building and scaling user-facing iOS experiences for content discovery, community participation, and engagement at massive scale. Day-to-day involves leading features through the full lifecycle with Swift, improving app architecture and performance, and partnering with product, design, data science, ML, and backend teams.
Senior Android engineer on Reddit's Consumer Engineering team builds and scales user-facing features of the Reddit Android app (feeds, onboarding, notifications, identity) for hundreds of millions of users, leading projects from design through launch in Kotlin, with Jetpack Compose and Media3/ExoPlayer experience a plus.
Senior ML engineer on Reddit's Ads ML Efficiency team, optimizing production ML workloads for speed, scalability, and cost — profiling bottlenecks across model execution, runtimes, GPU/memory, and infrastructure, then shipping improvements to inference and training. Core stack: Python, PyTorch, and GPU/inference tooling like CUDA and Triton.
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them…
TWG Resources LLC is seeking a Director, Data Science in Chicago, IL with the following requirements: Bachelor’s degree in Computer Science, Computer Information Systems, Data Science, Information Systems, Engineering,…
Senior Data Scientist owning the full ML lifecycle — from framing business questions and exploring messy data to training, validating, deploying, and monitoring models in production. Core stack: Python (Pandas, NumPy, scikit-learn), SQL, and cloud platforms (AWS/GCP/Azure), working closely with ML engineers and product teams.
Senior AI Engineer (80% ML engineering) building and scaling production ML systems for ecommerce search, retrieval, matching, ranking, and personalization, including GenAI/agentic experiences. Core stack: Python, Databricks pipelines, and Kubernetes/AKS deployment with experimentation and MLOps/LLMOps.
We are looking for a Middle+ Game Manager to own the casino product: the game catalog, the lobby, provider relationships, and game performance. Your goal is to make sure players always find the right games, so that the…
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that…
Greetings from Peoplefy! Data Scientist / ML Engineer Location: Pune Experience: 6+ Years Work Mode: Hybrid We are looking for a strong Data Scientist / ML Engineer with hands-on experience in building and deploying…
Owns end-to-end planning, design, and iteration of AI products for Binance's crypto trading platform — LLM-based generative recommendations, trading signals, AI-assisted decisions, and personalized investment insights — working with algorithm, backend, and data teams using LLMs, prompt engineering, RAG, and A/B testing.
A 6-month paid Data Science internship at Betclic (starting February 2027) based in Bordeaux, working within a squad of 9 Data Scientists on recommendation systems for the Casino app, horse racing forecasting, and fraud/document-validation use cases using Python and SQL.
Lead Data Scientist Overview: As a Lead Data Scientist, you will be crucial to the Data Science team. You will support analytics technical requirements, establish best practices in use case development, deployment,…
Senior Data Scientist – Applied Machine Learning Location: Sydney, NSW, au Company Description Lendi Group is transforming the way Australians find, buy and own property. As the company behind Lendi — Australiaʼs…
Job Title: AI Engineer / NLP, LLM & Agentic AI Specialist (Python) Location: Chennai Experience Level: Mid-Level / Senior Employment Type: Full-Time Job Summary We are looking for a passionate AI Engineer with…
About Storable At Storable, we're redefining property management for specialty real estate. Powered by AI and three decades of industry data, Storable empowers over 33,000 self-storage facilities with the…
Senior AI/ML engineer (with team-management duties) at a client-services consultancy, delivering data science and big data solutions for clients in telecom, media, and finance. Day to day: building end-to-end ML/GenAI pipelines and models (Python, LLMs/RAG, PyTorch, Spark, Kafka, Azure/AWS) and guiding a technical team.
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