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Head of Machine Learning at Aarki
San FranciscoFull-timeMachine LearningPosted about 2 months ago
Apply with PipelineAbout the Role
<p style="text-align: justify;"><strong>Who are we?<br></strong><strong><br></strong>RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.<strong><br></strong></p>
<h4 id="Role-Overview" data-local-id="f151c7bd-9bf0-4177-98cd-24781c044f40" data-renderer-start-pos="201">Role Overview</h4>
<p data-renderer-start-pos="216" data-local-id="47c19f07-83a7-445b-baf9-9df4486a2127">We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on development, and organizational building. You will be responsible for the infrastructure for training and serving the deep learning models powering our Demand Side Platform.</p>
<p data-renderer-start-pos="569" data-local-id="0855f2ffd21e">Our machine learning systems power real-time advertising use cases including bidding, ranking, pacing, and fraud detection. These models operate in extremely latency-sensitive environments, serving millions of predictions per second. You will work closely with engineering and product leadership to translate business challenges into scalable ML solutions.</p>
<p data-renderer-start-pos="927" data-local-id="b73b09429abb">This role is ideal for someone who enjoys building systems and teams from scratch, moving quickly, and owning outcomes end-to-end.</p>
<h4 id="Key-Responsibilities" data-local-id="73c15258-1cf0-4200-a691-0993f461685c" data-renderer-start-pos="1059">Key Responsibilities</h4>
<ul class="ak-ul" data-local-id="6f4cb0f5-3b46-457f-b076-1d94f36048e8" data-indent-level="1">
<li>
<p data-renderer-start-pos="1083" data-local-id="77f502033090">Design and build the next generation production ML system, including training pipelines, feature pipelines, and real-time inference services.</p>
</li>
<li>
<p data-renderer-start-pos="1228" data-local-id="34af4b53954d">Work directly in the codebase to prototype models, evaluate approaches, and ship production systems.</p>
</li>
<li>
<p data-renderer-start-pos="1332" data-local-id="88691c02bc33">Build and lead the machine learning team, including hiring, mentoring, and establishing engineering culture.</p>
</li>
<li>
<p data-renderer-start-pos="1444" data-local-id="f70fddf66da6">Partner with engineering to design infrastructure capable of serving millions of low-latency predictions.</p>
</li>
<li>
<p data-renderer-start-pos="1553" data-local-id="1f24d2bb91ad">Identify high-impact ML opportunities across bidding, ranking, pacing, fraud detection, and optimization.</p>
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<li>
<p data-renderer-start-pos="1662" data-local-id="32bff21a6ff8">Establish best practices around experimentation, model evaluation, monitoring, and continuous improvement.</p>
</li>
<li>
<p data-renderer-start-pos="1772" data-local-id="e922e6a66527">Translate business and product goals into measurable machine learning improvements.</p>
</li>
</ul>
<h4 id="Required-Skills-/-Experience" data-local-id="c79f06fa-795e-4b81-9c28-deb437c3b45f" data-renderer-start-pos="1859">Required Skills / Experience</h4>
<ul class="ak-ul" data-local-id="abe9be24-44e8-4088-8300-0481cd6d1431" data-indent-level="1">
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<p data-renderer-start-pos="1891" data-local-id="be7c47295e78">7+ years of experience with a focus on building production machine learning systems.</p>
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<li>
<p data-renderer-start-pos="1979" data-local-id="8895ce0fbde7">Experience taking ML models from research or prototype to production at scale.</p>
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<li>
<p data-renderer-start-pos="2061" data-local-id="3f95fb50eaa6">Strong programming background in Python and at least one systems language (C++, Java, Rust, or Go).</p>
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<p data-renderer-start-pos="2164" data-local-id="6711f839981d">Experience working with large-scale data pipelines and training infrastructure.</p>
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<li>
<p data-renderer-start-pos="2247" data-local-id="34142dbba947">Comfortable operating in early-stage environments where you may be both the architect and the implementer.</p>
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<li>
<p data-renderer-start-pos="2357" data-local-id="998ed704ebdd">Strong product intuition and ability to prioritize ML work based on business impact.</p>
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<p data-renderer-start-pos="2445" data-local-id="4e1b96e91d4e">Experience scaling ML teams.</p>
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<p data-renderer-start-pos="2477" data-local-id="f9c18c3c698c">Excellent communication skills and ability to work across engineering, product, and leadership.</p>
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<p data-renderer-start-pos="2576" data-local-id="b5ba3ede756a">Fluent Mandarin required.</p>
</li>
</ul>
<h4 id="Nice-to-Have" data-local-id="5fc76b17-04db-42c9-9d5c-c21de37b2267" data-renderer-start-pos="2605">Nice-to-Have</h4>
<ul class="ak-ul" data-local-id="cf76e266-01d6-489f-aed2-b5dba84d8deb" data-indent-level="1">
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<p data-renderer-start-pos="2621" data-local-id="08d6cb1346cb">Experience in advertising technology and real-time systems.</p>
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<p data-renderer-start-pos="2684" data-local-id="6d80f21a200b">Experience operating ML infrastructure in on-prem environments using open-source tools including Spark, ClickHouse, AeroSpike, and Prefect.</p>
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</ul>
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