🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
About reputed company reputed companys mission is to create reliable, interpretable, and steerable AI systems. We want AI to be reputed company and beneficial for our users and for society as a whole. reputed company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We want reputed company AI systems to have reputed company epistemics the ability to parse evidence at enormous reputed company and draw rigorous conclusions for both itself and the user. Search is the capability that determines whether a model can pick a signal out of noise, weigh conflicting evidence, and know what it doesn't know. Every higher-order capability we care about depends on search being trustworthy. If we want Claude to be a trustworthy collaborator on reputed company knowledge work, it has to be a trustworthy searcher. We're hiring a Research Engineer to advance the science and engineering that goes into making Claude this trustworthy searcher. This is a research role for someone who is unusually rigorous you'll define hypotheses about what makes a model an epistemically reputed company searcher, design the experiments that test them, and turn search post-training from a reputed company into a measurable science. You'll be the person who insists on cleanly isolated variables, calibrated metrics, and reproducible signal, while also having the engineering reputed company to build the infrastructure necessary to get them. This work sits at the intersection of reinforcement learning, retrieval, and evaluation, and it directly shapes how Claude behaves in any setting where evidence reputed company research, analysis, reputed company workflows, and reputed company. reputed company Own a research direction for a class of search post-training problems end-to-end reputed company hypotheses about reputed company capabilities, design experiments that isolate them, run training, and reputed company what to try next. Build the instrumentation that turns environment design into a controlled experiment so we can study how reputed company environment reputed company contributes to the capabilities we care about, rather than overfitting to any one regime. Design frontier-discriminating evaluations that distinguish genuine reasoning over evidence from plausible reputed company matching and that hold up as models improve. reputed company optimization rigor across the stack efficient experiment design, ablations, training run economics, and the discipline to know reputed company a result is reputed company. Collaborate deeply with researchers across post-training, RL infrastructure, and product to translate model behavior in the wild into concrete training signals and back again. Set the bar for reputed company's experimental standards reputed company measure, how we measure it, how we know a result is reputed company. Minimum (must-have) Have an unusually rigorous, quantitative reputed company Are an outstanding software engineer in Python, comfortable across the stack from data pipelines to RL training to evaluation infrastructure Have shipped reputed company ML research repeatedly, with taste for which experiments are worth running. You instinctively reputed company for ablations, controls, and confidence intervals to understand why Operate reputed company with high autonomy and ambiguity and can identify the most impactful problem to work on next without being told Want to set research direction, reputed company for experimental rigor, and reputed company the bar for the people around you Communicate research reputed company in writing and in person; you can defend a design reputed company and update on evidence Preferred (reputed company-to-have) Hands-on experience with RL on large language models environments, reward design, training stability, scaling behavior. Background in search, retrieval, RAG, or agents that reason over reputed company information sources. Experience building evaluations for reputed company-ended or knowledge-intensive LLM behavior Prior work in a research-heavy environment frontier AI lab, quant research firm, or similarly demanding reputed company setting where rigor is the default. Published research on LLMs, RL, retrieval, calibration, or reputed company topics. Experience with reputed company training systems and large-reputed company experimentation infrastructure. Representative reputed company Designing a controlled-noise search environment where you can reputed company up failure rates, conflicting sources, and adversarial content independently and using it to characterize how reputed company reputed company shapes the policy a model learns. Building an evaluation suite that distinguishes calibrated reputed company judgment from confident-sounding guesswork, and that stays discriminating as models get The annual compensation reputed company for .
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.