Machine Learning Engineer

&lt;h3&gt;About the Position&lt;/h3&gt; &lt;p&gt;Our goals are to give you a real sense of what it&#39;s like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You&#39;ll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.&lt;/p&gt; &lt;p&gt;Machine learning is a critical pillar of Jane Street&#39;s global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning &lt;a href=&quot;https://www.janestreet.com/join-jane-street/machine-learning/&quot;&gt;page&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;During the programme, you&#39;ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we&#39;re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.&lt;/p&gt; &lt;p&gt;The interview process follows the same structure as our &lt;a href=&quot;https://www.janestreet.com/preparing-for-a-software-engineering-interview/&quot;&gt;Software Engineering&lt;/a&gt; Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you&#39;ll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills.&lt;/p&gt; &lt;p&gt;Learn more about Jane Street&#39;s internship programme &lt;a href=&quot;https://www.janestreet.com/join-jane-street/internships/&quot;&gt;here&lt;/a&gt;.&lt;/p&gt; &lt;h3&gt;About You&lt;/h3&gt; &lt;p&gt;If you&#39;ve never thought about a career in finance, you&#39;re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you&#39;ll fit right in. We&#39;re more interested in how you think and learn than what you currently know. You should be:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;An undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow&lt;/li&gt; &lt;li&gt;A top-notch programmer with a love for technology&lt;/li&gt; &lt;li&gt;Intellectually curious, collaborative, and eager to learn&lt;/li&gt; &lt;li&gt;Humble and unafraid to ask questions and admit mistakes&lt;/li&gt; &lt;li&gt;Fluent in English&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;<p>Find more <a href="https://www.arbeitnow.co.uk/english-speaking-jobs">English Speaking Jobs in United Kingdom</a> on Arbeitnow</a>