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Principal Machine Learning Engineer - Model Efficiency Optimization

at ABBYY

Hybrid Senior Posted 2026-05-21

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About this role

<div class="content-intro"><p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><span class="OYPEnA">Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise&nbsp;customers and put their information to work to transform the way they do business.&nbsp;</span><span class="OYPEnA">Over 10,000 customers trust ABBYY, </span><span class="OYPEnA">including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as </span><span class="OYPEnA">DHL, Johnson &amp; Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&amp;R BLOCK.</span></p></div><p><strong><span data-contrast="auto">About the Role</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">We are seeking a&nbsp;</span><span data-contrast="auto">Principal Machine Learning Engineer – Model Efficiency &amp; Optimization</span><span data-contrast="auto">&nbsp;to serve as the technical anchor for ABBYY’s model optimization strategy.</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">This is a&nbsp;</span><span data-contrast="auto">senior individual contributor role</span><span data-contrast="auto">&nbsp;for a deep domain expert who will define how ABBYY builds&nbsp;</span><span data-contrast="auto">efficient, high-performing, production-ready models</span><span data-contrast="auto">&nbsp;for document AI at scale. You will set technical direction from&nbsp;</span><span data-contrast="auto">research exploration through production deployment</span><span data-contrast="auto">, combining strong theoretical&nbsp;expertise&nbsp;with hands-on implementation.</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Key Responsibilities</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Research Direction &amp; Technical Strategy</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Own the end-to-end technical direction for&nbsp;</span><span data-contrast="auto">model efficiency and optimization</span><span data-contrast="auto">, from research agenda to production deployment</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Define approaches for building&nbsp;</span><span data-contrast="auto">efficient, production-ready models</span><span data-contrast="auto">&nbsp;optimized&nbsp;for document AI use cases</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Establish frameworks for evaluating&nbsp;</span><span data-contrast="auto">quality vs. efficiency trade-offs</span><span data-contrast="auto">&nbsp;(accuracy, latency, memory footprint)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Set standards for what constitutes a successful optimized model across document understanding benchmarks</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Evaluate and adopt emerging techniques in&nbsp;</span><span data-contrast="auto">model optimization and compression</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Influence modeling strategy across teams by integrating&nbsp;</span><span data-contrast="auto">efficiency-first thinking</span><span data-contrast="auto">&nbsp;into model development</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span><strong><span data-contrast="auto">Hands-on Implementation &amp; Experimentation</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Lead design and implementation of&nbsp;</span><span data-contrast="auto">optimization pipelines, training&nbsp;objectives, and compression techniques</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Run large-scale experiments and analyze&nbsp;</span><span data-contrast="auto">training dynamics, instabilities, and capability gaps</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Develop novel optimization approaches tailored to&nbsp;</span><span data-contrast="auto">document understanding tasks</span><span data-contrast="auto">, including layout and multimodal challenges</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Diagnose and resolve failure modes such as&nbsp;</span><span data-contrast="auto">quality degradation and generalization gaps</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Prototype and&nbsp;validate&nbsp;new techniques before scaling to production training runs</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span><strong><span data-contrast="auto">Cross-Functional Collaboration</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Partner with the&nbsp;</span><span data-contrast="auto">Document AI Data team</span><span data-contrast="auto">&nbsp;to define training data requirements for optimized models</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Collaborate with Platform teams on&nbsp;</span><span data-contrast="auto">distributed training infrastructure, experiment tracking, and compute strategy</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Work closely with Modeling teams to ensure optimized models meet&nbsp;</span><span data-contrast="auto">quality and performance standards</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Communicate technical trade-offs, findings, and recommendations clearly to&nbsp;</span><span data-contrast="auto">engineering, product, and leadership stakeholders</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Qualifications</span></strong> </p> <p><strong><span data-contrast="auto">Education &amp; Experience</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">MS or PhD in Computer Science, Engineering, Mathematics, or related field (</span><span data-contrast="auto">PhD preferred</span><span data-contrast="auto">)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">10+ years of experience in&nbsp;</span><span data-contrast="auto">Machine Learning / AI</span><span data-contrast="auto">, with focus on:&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="2"><span data-contrast="auto">Model optimization</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="2"><span data-contrast="auto">Efficient deep learning</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="2"><span data-contrast="auto">Large-scale model deployment</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Demonstrated&nbsp;track record&nbsp;of contributions to model efficiency (e.g., publications, patents, or industry impact)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Proven experience&nbsp;optimizing&nbsp;</span><span data-contrast="auto">large-scale language and/or vision models</span><span data-contrast="auto">&nbsp;for production</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Deep understanding of trade-offs between&nbsp;</span><span data-contrast="auto">model quality, size, and inference performance</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span><strong><span data-contrast="auto">Technical Expertise</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Deep&nbsp;expertise&nbsp;in&nbsp;</span><span data-contrast="auto">model optimization and compression techniques</span><span data-contrast="auto">&nbsp;(e.g., quantization, pruning)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Strong knowledge of&nbsp;</span><span data-contrast="auto">efficient deep learning methodologies</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Expertise&nbsp;in&nbsp;</span><span data-contrast="auto">Vision-Language Models (VLMs)</span><span data-contrast="auto">&nbsp;and multimodal optimization challenges</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Strong programming skills in&nbsp;</span><span data-contrast="auto">Python</span><span data-contrast="auto">&nbsp;and deep&nbsp;proficiency&nbsp;with&nbsp;</span><span data-contrast="auto">PyTorch&nbsp;or similar frameworks</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Experience with&nbsp;</span><span data-contrast="auto">distributed training systems and large-scale experimentation workflows</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Strong evaluation&nbsp;methodology&nbsp;for optimized models, including&nbsp;</span><span data-contrast="auto">benchmarking, efficiency profiling, and regression analysis</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span><strong><span data-contrast="auto">Leadership &amp; Communication</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Recognized technical authority in&nbsp;</span><span data-contrast="auto">model optimization or efficient AI systems</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Proven ability to influence technical direction without formal authority</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Strong&nbsp;track record&nbsp;of driving&nbsp;</span><span data-contrast="auto">applied research → production impact</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Excellent communication skills, with the ability to clearly articulate complex trade-offs</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Collaborative mindset with the ability to align cross-functional teams</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Here are some of our local benefits:</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Comprehensive medical, accidental, and life insurance</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Weekly wellness sessions to support your physical and mental well-being</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">A generous paid time off policy</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:2,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-ccp-props="{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-ccp-props="{}">&nbsp;</span></p><div class="content-conclusion"><div> <div class="DF_utQ _682gpw _0xkaeQ"> <div class="aF9o6Q _0yZ6Qg"> <div class="AdBbhQ hGbcYA rLWGlw _7rUwsA" lang="en-GB"> <p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><strong><span class="OYPEnA">Join ABBYY, and you will:</span></strong></p> <p class="cgHgbA nxe3IQ Xp24Nw"><strong><span class="OYPEnA">Love how you work</span></strong></p> </div> </div> </div> </div> <div> <div class="DF_utQ _682gpw _0xkaeQ"> <div class="aF9o6Q _0yZ6Qg"> <div class="AdBbhQ hGbcYA _7rUwsA" lang="en-GB"> <ul class="yL4mFA"> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng PanoWQ"><span class="OYPEnA">We provide remote and hybrid working options to fit all lifestyles.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">We use flexible hours across most of our teams to allow you to find your own definition of balance.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">To ensure your family is cared for, we offer paid parental leave in all our locations.</span></li> </ul> </div> </div> </div> </div> <div> <div class="DF_utQ _682gpw _0xkaeQ"> <div class="aF9o6Q _0yZ6Qg"> <div class="AdBbhQ hGbcYA _7rUwsA" lang="en-GB"> <p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><strong><span class="OYPEnA">Love whom you work with</span></strong></p> </div> </div> </div> </div> <div> <div class="DF_utQ _682gpw _0xkaeQ"> <div class="aF9o6Q _0yZ6Qg"> <div class="AdBbhQ hGbcYA rLWGlw _7rUwsA" lang="en-GB"> <ul class="yL4mFA"> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng PanoWQ"><span class="OYPEnA">We are a global team of 600+ colleagues, spread across 15 countries on four continents.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">With colleagues representing 30+ nationalities, our workforce reflects the world.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140&nbsp;technology patents.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">We are guided by the values of respect, transparency, and simplicity.</span></li> <li class="Xp24Nw _bsDhw cgHgbA nxe3IQ _4c44Ng"><span class="OYPEnA">"Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.</span></li> </ul> </div> </div> </div> </div> <div> <div class="DF_utQ _682gpw _0xkaeQ"> <div class="aF9o6Q _0yZ6Qg"> <div class="AdBbhQ hGbcYA _7rUwsA" lang="en-GB"> <p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><strong><span class="OYPEnA">Love what you work on</span></strong></p> <ul> <li class="cgHgbA nxe3IQ Xp24Nw PanoWQ">We are a company with more than 35 years of experience in the technology market;</li> <li class="cgHgbA nxe3IQ Xp24Nw PanoWQ">Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson &amp; Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&amp;R BLOCK;</li> <li class="cgHgbA nxe3IQ Xp24Nw PanoWQ">We have modernized the capture market by creating the first low-code/no-code IDP platform.</li> <li class="cgHgbA nxe3IQ Xp24Nw PanoWQ">Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;</li> <li class="cgHgbA nxe3IQ Xp24Nw PanoWQ">Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.</li> </ul> <p><em><span data-preserver-spaces="true">ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.</span></em></p> </div> </div> </div> </div></div>

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