Machine Learning Internship Summer 2027

<p><strong>About CoVar</strong></p>

<p><span class="TextRun SCXW169630362 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW169630362 BCX0">CoVar is a small, mission-driven AI/ML R&D software company </span><span class="NormalTextRun SCXW169630362 BCX0">based</span><span class="NormalTextRun SCXW169630362 BCX0"> in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help the </span><span class="NormalTextRun SpellingErrorV2Themed SCXW169630362 BCX0">DoW</span><span class="NormalTextRun SCXW169630362 BCX0"> detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter.</span></span><span class="EOP Selected SCXW169630362 BCX0" data-ccp-props="{"335551550":6,"335551620":6}"> </span></p>

<p><strong><span class="TextRun SCXW53119418 BCX0" lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW53119418 BCX0" data-ccp-parastyle="heading 1">Internship Overview</span></span><span class="EOP Selected SCXW53119418 BCX0" data-ccp-props="{"134245418":true,"134245529":true,"335559738":240}"> </span></strong></p>

<ul>

<li><span data-contrast="auto">8-12 weeks – flexible, depending on your schedule</span><span data-ccp-props="{}"> </span></li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">In-person in Durham, NC</span> </li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1">Competitively paid internship </li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1">Matched with one project based on your current expertise and interests </li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1">Paired with an advisor or project lead who will guide you and help you set and meet your goals </li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1">Concludes with you presenting your work either internally to CoVar or externally to the customer<span data-ccp-props="{}"> </span></li>

</ul>

<p><strong>Interview Timeline</strong></p>

<ul>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Accepting applications online from now to mid-November 2026</span> </li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="7" data-aria-level="1">Interviews starting in September 2026

<ul>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="7" data-aria-level="1">Interview steps consist of a video screening and a code screening </li>

</ul>

</li>

<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="7" data-aria-level="1">Offers out by end of November 2026<span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>

</ul>

<p><strong>About the position</strong></p>

<p><span class="TextRun SCXW250093530 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW250093530 BCX0">You will help </span><span class="NormalTextRun SCXW250093530 BCX0">CoVar</span><span class="NormalTextRun SCXW250093530 BCX0"> develop software and machine learning algorithms to solve real-world customer problems.</span><span class="NormalTextRun SCXW250093530 BCX0"> You will </span><span class="NormalTextRun SCXW250093530 BCX0">work with data, develop algorithms, evaluate results, and write the production code that goes </span><span class="NormalTextRun SCXW250093530 BCX0">onto real-world systems. You </span><span class="NormalTextRun SCXW250093530 BCX0">may</span><span class="NormalTextRun SCXW250093530 BCX0"> have the opportunity to present your work to high-level </span><span class="NormalTextRun SCXW250093530 BCX0">customer</span><span class="NormalTextRun SCXW250093530 BCX0">s in the </span><span class="NormalTextRun SpellingErrorV2Themed SCXW250093530 BCX0">Do</span><span class="NormalTextRun SpellingErrorV2Themed SCXW250093530 BCX0">W</span><span class="NormalTextRun SCXW250093530 BCX0"> and </span><span class="NormalTextRun SCXW250093530 BCX0">in the </span><span class="NormalTextRun SCXW250093530 BCX0">industry.</span></span><span class="EOP Selected SCXW250093530 BCX0" data-ccp-props="{"335551550":6,"335551620":6}"> </span></p>

<p><strong>Qualifications</strong></p>

<p><span class="TextRun SCXW248358694 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW248358694 BCX0">Applicants should have </span><span class="NormalTextRun SCXW248358694 BCX0">e</span><span class="NormalTextRun SCXW248358694 BCX0">xpertise</span><span class="NormalTextRun SCXW248358694 BCX0"> in P</span><span class="NormalTextRun SCXW248358694 BCX0">ython</span><span class="NormalTextRun SCXW248358694 BCX0"> (including </span><span class="NormalTextRun SCXW248358694 BCX0">NumPy</span><span class="NormalTextRun SCXW248358694 BCX0">, </span><span class="NormalTextRun SCXW248358694 BCX0">pandas</span><span class="NormalTextRun SCXW248358694 BCX0">, and other packages) and </span><span class="NormalTextRun SpellingErrorV2Themed SCXW248358694 BCX0">P</span><span class="NormalTextRun SpellingErrorV2Themed SCXW248358694 BCX0">y</span><span class="NormalTextRun SpellingErrorV2Themed SCXW248358694 BCX0">T</span><span class="NormalTextRun SpellingErrorV2Themed SCXW248358694 BCX0">orch</span><span class="NormalTextRun SCXW248358694 BCX0">.</span><span class="NormalTextRun SCXW248358694 BCX0"> Deep understanding of machine learning fundamentals (gradient descent, </span><span class="NormalTextRun SCXW248358694 BCX0">cross-validation, ROC curves, confusion matrices) are necessary. </span><span class="NormalTextRun SCXW248358694 BCX0">Kno