Scientist, Machine Learning

<p><span style="font-family: helvetica, arial, sans-serif;">At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the <a href="https://www.science.org/doi/abs/10.1126/science.abe5650">cover of Science</a>, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and <a href="https://www.biorxiv.org/content/10.1101/2023.12.13.571579v1">unique foundation models</a> fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success.<br><br></span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>The opportunity</strong></span></p> <p><span style="font-family: helvetica, arial, sans-serif;">As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company. </span><br><br></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>Primary responsibilities</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Design and develop novel machine learning models for RNA structure prediction and drug targeting.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Evaluate and advance the state of the art of our structure prediction platform.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Collaborate with our wetlab team on the targeted acquisition of experimental data to improve our machine learning models.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Develop high-quality code in a team setting.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.</span></li> </ul> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>About you</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">4+ years of experience developing machine learning methods for scientific applications.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Foundational knowledge of machine learning and underlying mathematical concepts.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.</span><br><br></li> </ul> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>Pluses</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Publications at major machine learning conferences or in major scientific journal</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Research experience related to structural biology, molecular design, and drug discovery.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Foundational knowledge of physics, chemistry, and molecular biology.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Demonstrated ability to develop performant code.</span><br><br></li> </ul> <p><span style="font-family: helvetica, arial, sans-serif;">Salary Range (all levels): $170,000/year to $220,000/year + equity + benefits. This range reflects variations in seniority, expertise, and skills.</span></p><div class="content-conclusion"><p>Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.</p></div>