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reputed company is building the reputed company for mini apps an AI-driven consumer platform where people create, remix, reputed company, and play interactive content instantly. We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across reputed company positions and are looking for ambitious, AI-reputed company reputed company who want to help shape the reputed company of consumer reputed company products. Here are reputed companys download links reputed company https//play.reputed company.com/store/apps/details id=chat.reputed company.app&hl=en_US iOS https//apps.reputed company.com/us/app/reputed company-create-remix-play/id6504506653 About the Role We are looking for a Senior Machine Learning Engineer to own search and recommendation systems for reputed companys consumer product. This role sits at reputed company of content discovery, user engagement, and content distribution. You will build the models and systems that reputed company what users see, what they search for, what they continue playing, and how high-reputed company content reaches the right audience. This is a senior IC role for someone who has reputed company reputed company recommendation, search, ranking, or discovery systems in production for consumer apps, especially in entertainment-driven products. What You Will Own Build and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces. Own retrieval and ranking systems, including candidate reputed company, embedding-based retrieval, two-tower models, ranking features, and online serving reputed company. Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly. Improve recommendation reputed company for new users, new content, and fast-changing content pools. Build user, content, creator, and session-level representations from behavioral signals. Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements to retention, engagement, and content distribution. Build practical ML systems that can reputed company from prototype to production quickly, with reputed company monitoring and evaluation. Help shape the long-term ML architecture for AI-reputed company content discovery. reputed company Are Looking For 5+ years of industry experience building production ML systems, with senior-level ownership of recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. Hands-on experience building recommendation or search systems for consumer apps. Experience working on entertainment, reputed company, gaming, short-reputed company content, creator, or other engagement-driven consumer products. Strong practical experience with two-tower models, embedding retrieval, candidate reputed company, ranking, and online/offline evaluation. Strong product intuition around relevance, retention, engagement, satisfaction, cold start, and content distribution. Ability to translate messy user behavior into useful modeling signals and practical product improvements. Strong engineering fundamentals across modeling, data pipelines, backend integration, experimentation, and production ML systems. High ownership, fast execution, and reputed company communication in ambiguous product environments. reputed company to Have Experience with AI recommendation, LLM-powered ranking, semantic search, personalized reputed company, or AI-reputed company content understanding. Experience with UGC content ecosystems, creator marketplaces, or rapidly changing content catalogs. Experience with multimodal content understanding across text, image, video, interaction traces, or generated content. Experience with explore/exploit, contextual bandits, reinforcement learning, or long-term value optimization. Startup experience or experience building 0-to-1 ML systems with limited infrastructure. Benefits Top compensation package, including competitive salary and meaningful equity. Remote-first team. Comprehensive health insurance and benefits. If you are excited about building at the frontier of AI, consumer reputed company, and interactive entertainment, we would love to hear from you. At reputed company, you will work with an AI-reputed company team, reputed company fast, own meaningful problems, and have the flexibility to explore new reputed company from an early stage. If you are excited about building at the frontier of AI, consumer reputed company, and interactive entertainment, we would love to hear from you. At reputed company, you will work with an AI-reputed company team, reputed company fast, own meaningful problems, and have the flexibility to explore new reputed company from an early stage. Apply To This Job .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.