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Leads QA automation for Tubi's free streaming service, designing test strategies for playback, streaming protocols (HLS/DASH), DRM, and AI/ML-driven features across web, mobile, and connected-TV platforms. Works with engineering and data science on regression suites and CI/CD using tools like Selenium, Playwright, Appium, and Charles Proxy.
About the Role: We are looking for a Director Product, Discovery & AI to define and lead the future of content discovery for over 100 million monthly active viewers. This leader will own the strategy, roadmap, and…
We work at the intersection of pricing science, offer personalisation, advanced statistics, and scalable software. You'll build and bring into production state-of-the-art probabilistic models - like hierarchical…
Software engineer on Google Search's personalization team building ML/AI-driven ranking and recommendation systems at massive scale. Day to day involves writing production code in C++, deploying and optimizing recommendation models, integrating generative AI/LLM tooling, and collaborating through design and code reviews.
Senior data scientist with Muttdata, a remote-first ML consultancy, working embedded with a multinational beverage client in Mexico City. Builds AI features — recommendations, personalization, segmentation, churn prediction, notification optimization — for a large B2B app used across 9 countries, using Python, SQL, Databricks, and Spark.
Senior Product Manager at Axonify leading the AI/insights side of its frontline enablement SaaS platform, partnering with engineering, data science, and design to take LLM and recommendation-driven features from proof of concept to production. Requires 5-7 years of SaaS/enterprise PM experience with strong data, experimentation, and AI-product fluency.
Staff-level tech lead on Google's Geo (Maps) team improving the ranking quality of user-generated content: designing and launching large-scale recommendation systems, optimizing ML infrastructure and model architecture, and coaching a distributed team. Core tech: ML/recommendation systems, ML infrastructure, and generative AI/LLM integration.
Hands-on lead data scientist at a performance-marketing company building the models that route auto-insurance shoppers to carriers on click walls and drive automated media-buying bids held to ROAS. Applied ML end to end (data, model, deployment, monitoring) in Python and SQL, working East Coast hours, remote-first.
Senior UX Designer at Cleo (Bangalore) shaping AI-native experiences for Cleo Integration Cloud, a supply chain orchestration and EDI platform. The role covers research, problem framing, wireframes through high-fidelity UI, design systems, and AI-driven interfaces, working closely with product, engineering, and data/AI teams.
A 10-week paid summer 2027 internship (June–August) at Veeam's San Jose office for students entering their final year (Master's/PhD), training and diagnosing ML models, doing LLM/generative-AI research, and building experimentation tooling with PyTorch/TensorFlow. In-office 5 days/week; hourly pay $40–$50.
Product Owner owning the post-purchase matchmaking journey at a remote-first social discovery (dating-style) platform: improving activation, recommendation relevance, and engagement for paying users. Day to day involves defining hypotheses, running A/B tests, and driving cross-functional delivery with data, ML, design, and engineering.
Staff ML engineer building personalized podcast recommendation systems (home feeds, Shortcuts, AI-driven discovery) serving millions of listeners. Day to day: training and fine-tuning LLMs and ranking models in Python/PyTorch, running A/B tests, and scaling distributed ML infrastructure. US-based with Eastern Time collaboration hours.
Data Scientist Experience: 35 Years Location: PAN India Role: Data Scientist / ML Engineer Employment Type: Full-Time Job Summary We are looking for a Data Scientist with 3–5 years of experience in Data Science,…
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Build and improve the ML systems behind an AI-native mobile communication app — working on classification, ranking, retrieval, personalization and evaluation from model development through production deployment. Stack centers on Python, PyTorch/JAX, embeddings and vector search.
Senior product operations and program management role, posted via Jobgether for a partner company: build and run operating models, OKR/QBR cadences, portfolio roadmaps, and cross-functional programs for digital content experiences (live events, podcasts, creator content, games), leveraging AI and automation to streamline workflows. Remote within the US.
Senior, architect-level Java engineer working on-site in Yerevan, designing and building scalable, high-performance backend microservices and event-driven systems. Core stack: Java, Spring Boot, RxJava, Redis, MySQL, Kafka; nice-to-haves include search platforms (Vespa, OpenSearch/Elasticsearch) and AI/RAG features.
About the role and team Uber One serves as Uber's flagship membership program and stands as one of the company's core strategic growth engines. Boasting over 50 million members—a 55% surge year-over-year—the…
At JPMorgan Chase, AI is transforming how we operate on a global scale. We invest over $18 billion annually in technology, including innovation, data, and security, to shape the future for our clients, communities, and…
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