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Built in Silicon Valley. Proven across the world’s most rapidly digitizing markets. 400M+ identity checks completed.
<br><br>Smile ID is an AI-native identity verification and KYC provider. We block fraud while enabling businesses in rapidly digitizing markets to onboard users at scale, in real time. Since inception we have performed over 400 million identity verifications, serving hundreds of clients including leading banks, payments providers, lenders, and shared economy businesses.
<br><br>Our team is a diverse group of hardworking and fun-loving Smilers spanning 4 offices, 7 countries and many time zones. We are backed by leading global investors, including Norsken22, Costanoa, and many more. <br><br>Come join us.&nbsp;

Built in Silicon Valley. Proven across the world’s most rapidly digitizing markets. 400M+ identity checks completed.

We proactively take ownership of our actions and responsibilities, and empower our teammates to do the same&nbsp;&nbsp;

We are Owners

We bring out the best in each other, across borders and without bias&nbsp;&nbsp;

We Show Up & Speak Up For Each Other

Together we build innovative, future-proof products that our partners love&nbsp;&nbsp;

We are Builders&nbsp;

We develop secure systems to empower people, protect their privacy and their data&nbsp;&nbsp;

We Protect People&nbsp;

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Our Values

<html><head></head><body><div>
<h1>Smile ID</h1>
<div>Built in Silicon Valley. Proven across the world’s most rapidly digitizing markets. 400M+ identity checks completed.&nbsp; Smile ID is an AI-native identity verification and KYC provider. We block fraud while enabling businesses in rapidly digitizing markets to onboard users at scale, in real time. Since inception we have performed over 400 million identity verifications, serving hundreds of clients including leading banks, payments providers, lenders, and shared economy businesses.</div>
<div><br>Our team is a diverse group of hardworking and fun-loving Smilers spanning 4 offices, 7 countries and many time zones. We are backed by leading global investors, including Norsken22, Costanoa, and many more.&nbsp;</div>
<h3>Come join us.</h3>
</div>
<h2>The Role</h2>
<div>We are looking for a Senior ML/AI Engineer to build and deploy machine learning models and LLMs/VLMs and develop agentic workflows that consume them to automate identity verification. This role reports directly to the Director of ML/AI and offers the opportunity to make a meaningful impact in a rapidly scaling company.&nbsp; This role will be based in North America or Europe.&nbsp;</div>
<div><br>You'll be joining a small, senior team of ML/AI engineers working at the cutting edge of identity verification and AI-powered automation. This is a high-impact role where you'll help shape the direction of our machine learning and AI capabilities; from how we architect and evaluate models through to how we deploy and monitor them in production. We work collaboratively but move fast, and every team member has real ownership over the problems they take on.</div>
<h4>What the role involves</h4>
<div>
<ul>
<li>Train, fine tune, and optimize computer vision models and LLMs/VLMs, and deploy efficiently at scale.</li>
<li>Develop agentic workflows to automate complex tasks like fraud review or document authenticity, synthesize model results and data, and build the next generation of identity verification products</li>
<li>Establish conventions for evaluations, monitoring, and other best practices across LLMs, ML models, and agentic workflows.&nbsp;</li>
</ul>
</div>
<h4>What We’re Looking For</h4>
<h5>Must-have:</h5>
<div>
<ul>
<li>5–8 years of experience in machine learning and/or AI engineering.</li>
<li>Strong computer vision background with experience training, fine-tuning, and deploying models at scale.</li>
<li>Experience building or contributing to agentic/LLM-based workflows.</li>
<li>Comfortable working in a fast-paced startup environment</li>
</ul>
</div>
<h5>Nice to have:</h5>
<div>
<ul>
<li>Proven domain expertise in biometrics, facial recognition, or identity verification.</li>
<li>Experience with VLMs (Vision Language Models).</li>
<li>Familiarity with ML/AI evaluation frameworks and monitoring best practices.</li>
<li>Prior experience establishing team-wide ML/AI conventions or standards.</li>
</ul>
</div>
<h2>Benefits and Compensation&nbsp;</h2>
<div>
<ul>
<li>Competitive salaries&nbsp;</li>
<li>Stock options</li>
<li>Health insurance or stipend (depending on location)</li>
<li>Time-off, study leave, and paid parental leave</li>
<li>Flexibility (we are a remote-friendly company + there is the opportunity to work from one of 4 global offices)</li>
<li>Cool swag and company off-sites (recent locations: Kenya &amp; Rwanda)</li>
<li>By applying for the role you consent to the GDPR Statement</li>
</ul>
&nbsp;</div></body></html>

<div>
<h1>Smile ID</h1>
<div>Built in Silicon Valley. Proven across the world’s most rapidly digitizing markets. 400M+ identity checks completed.  Smile ID is an AI-native identity verification and KYC provider. We block fraud while enabling businesses in rapidly digitizing markets to onboard users at scale, in real time. Since inception we have performed over 400 million identity verifications, serving hundreds of clients including leading banks, payments providers, lenders, and shared economy businesses.</div>
<div>
<br>Our team is a diverse group of hardworking and fun-loving Smilers spanning 4 offices, 7 countries and many time zones. We are backed by leading global investors, including Norsken22, Costanoa, and many more. </div>
<h3>Come join us.</h3>
</div>
<h2>The Role</h2>
<div>We are looking for a Senior ML/AI Engineer to build and deploy machine learning models and LLMs/VLMs and develop agentic workflows that consume them to automate identity verification. This role reports directly to the Director of ML/AI and offers the opportunity to make a meaningful impact in a rapidly scaling company.  This role will be based in North America or Europe. </div>
<div>
<br>You'll be joining a small, senior team of ML/AI engineers working at the cutting edge of identity verification and AI-powered automation. This is a high-impact role where you'll help shape the direction of our machine learning and AI capabilities; from how we architect and evaluate models through to how we deploy and monitor them in production. We work collaboratively but move fast, and every team member has real ownership over the problems they take on.</div>
<h4>What the role involves</h4>
<div>
<ul>
<li>Train, fine tune, and optimize computer vision models and LLMs/VLMs, and deploy efficiently at scale.</li>
<li>Develop agentic workflows to automate complex tasks like fraud review or document authenticity, synthesize model results and data, and build the next generation of identity verification products</li>
<li>Establish conventions for evaluations, monitoring, and other best practices across LLMs, ML models, and agentic workflows. </li>
</ul>
</div>
<h4>What We’re Looking For</h4>
<h5>Must-have:</h5>
<div>
<ul>
<li>5–8 years of experience in machine learning and/or AI engineering.</li>
<li>Strong computer vision background with experience training, fine-tuning, and deploying models at scale.</li>
<li>Experience building or contributing to agentic/LLM-based workflows.</li>
<li>Comfortable working in a fast-paced startup environment</li>
</ul>
</div>
<h5>Nice to have:</h5>
<div>
<ul>
<li>Proven domain expertise in biometrics, facial recognition, or identity verification.</li>
<li>Experience with VLMs (Vision Language Models).</li>
<li>Familiarity with ML/AI evaluation frameworks and monitoring best practices.</li>
<li>Prior experience establishing team-wide ML/AI conventions or standards.</li>
</ul>
</div>
<h2>Benefits and Compensation </h2>
<div>
<ul>
<li>Competitive salaries </li>
<li>Stock options</li>
<li>Health insurance or stipend (depending on location)</li>
<li>Time-off, study leave, and paid parental leave</li>
<li>Flexibility (we are a remote-friendly company + there is the opportunity to work from one of 4 global offices)</li>
<li>Cool swag and company off-sites (recent locations: Kenya &amp; Rwanda)</li>
<li>By applying for the role you consent to the GDPR Statement</li>
</ul>
 </div>