Engineering Manager, Inference

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2>About the role:</h2> <p>Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.&nbsp; As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.&nbsp; You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.</p> <p>&nbsp;</p> <h3>Responsibilities:</h3> <ul> <li>Provide front-line leadership of engineering efforts to improve model performance and scalr our inference and training systems</li> <li>Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor</li> <li>Manage day-to-day execution of the team's work</li> <li>Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment</li> <li>Coach and support your reports in understanding, and pursuing, their professional growth</li> <li>Maintain a deep understanding of the team's technical work and its implications for AI safety</li> </ul> <p>&nbsp;</p> <h3>You may be a good fit if you:</h3> <ul> <li>Have 1+ years of management experience in a technical environment, particularly performance or distributed systems</li> <li>Have a background in machine learning, AI, or a similar related technical field</li> <li>Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development</li> <li>Excel at building strong relationships with stakeholders at all levels</li> <li>Are a quick learner, capable of understanding and contributing to discussions on complex technical topics</li> <li>Have experience managing teams through periods of rapid growth and change</li> <li>Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective</li> </ul> <p>&nbsp;</p> <h3>Strong candidates may also have experience with:&nbsp;</h3> <ul> <li>High performance, large-scale ML systems</li> <li>GPU/Accelerator programming</li> <li>ML framework internals</li> <li>OS internals</li> <li>Language modeling with transformers</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The expected salary range for this position is:</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$425,000</span><span class="divider">&mdash;</span><span>$560,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Education requirements: </strong>We require at least a Bachelor's degree in a related field or equivalent experience.<strong><br><br>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research ... (truncated, view full listing at source)