Research Engineer (LG AI Research Center, Ann Arbor)

<p><strong>About LG AI Research Center, Ann Arbor</strong></p>
<p><span style="font-weight: 400;">LG AI Research Center, Ann Arbor was established in March 2022 and tackles cutting-edge research questions to make the world a better place. Our mission is to develop impactful and responsible artificial intelligence that benefits technological innovations, scientific discovery, and all of humanity. We encourage open communication, collaboration, diverse perspectives, and a growth-mindset. We not only hire "well-established experts" in the relevant field of AI but also look for "high-potential candidates" who can ramp up quickly on topics aligned with our mission and values. We do not discriminate against our candidates on the basis of nationality, sex, age, religion, disability, or other legally protected statuses. </span></p>
<p> </p>
<p><strong>Responsibilities</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Build engineering-driven research ideas with self-motivation.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Develop and collaborate on impactful research projects.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Align, scale, and demonstrate our research products to internal and external users.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Design new or improve state-of-the-art datasets, models, architectures, and algorithms in machine learning.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Write scientific articles and contribute to our research track record.</span></li>
</ul>
<p><strong>Topics</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Natural Language Understanding</span></li>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Large language models</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Reasoning</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Dialog systems</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Text generation (Conditional generation, Factual generation)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Curating and building large-scale high-quality datasets/benchmarks</span></li>
</ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Reinforcement learning</span></li>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">RL + Language</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Compositional task generalization</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Hierarchical reinforcement learning/planning/imitation learning</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Meta/multi-task/transfer reinforcement learning</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Offline reinforcement learning</span></li>
</ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Multimodal learning</span></li>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Vision-language grounding</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Video understanding</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Deep generative models (images, videos, text, etc.)</span></li>
</ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Neural combinatorial optimization</span></li>
</ul>
<p> </p>
<p><strong>Qualifications</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Strong programming skills and project portfolio.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Strong proficiency in deep learning frameworks.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with state-of-the-art research topics and methods.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Nice to have</span><span style="font-weight: 400;"> strong research/publication track record.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Nice to have</span><span style="font-weight: 400;"> strong mathematical insights, large-scale modeling experience, dataset publications, and a desire to make breakthroughs.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Nice to have</span><span style="font-weight: 400;"> experience in large-scale learning/parallelism, high-performance implementations, and user-interactive systems.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Nice to have an advanced</span><span style="font-weight: 400;"> degree (e.g., M.S. or Ph.D.) with publications in major machine learning conferences.</span></li>
</ul>
<p> </p>
<p><strong>Recruiting Process</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Application Review → Coding Test → Technical Interview (Online) → Culture Fit Interview (Onsite)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The process is subject to change and we will contact you separately if you are selected to move forward with the recruiting process.</span></li>
</ul>