Machine Learning Engineer
<p>Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.</p>
<p>Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)</p>
<p><strong>The Role</strong></p>
<ul>
<li>Understanding of statistical, ML and deep learning algorithms</li>
<li>Analyze errors of models and design strategies to overcome them</li>
<li>Deploy, maintain, and upgrade ML models and pipelines</li>
<li>Ambition to learn and grow into different industries with a modern tech stack</li>
<li>Autonomy, adaptability and positivity (fully remote and globally distributed team)</li>
</ul>
<p><strong><span class="notion-enable-hover" data-token-index="0">The Required Hard Skills</span></strong></p>
<ul>
<li>Bachelor's Degree in Computer Science or related</li>
<li>2+ years of ML engineering experience</li>
<li>Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)</li>
</ul>
<div class="p-rich_text_section"><strong data-stringify-type="bold">Additional Requirements</strong></div>
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<li data-stringify-indent="0" data-stringify-border="0">Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications</li>
<li data-stringify-indent="0" data-stringify-border="0">CV written in English</li>
</ul>
<p><strong>Bonus Points for Experience with…</strong></p>
<ul>
<li>Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.</li>
<li>MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)</li>
<li>Visualizing and manipulating big datasets</li>
<li>NLP</li>
</ul>
<p><strong>The Required Soft Skills</strong></p>
<ul>
<li>Curiosity—Ambition to learn and grow into different industries with a modern tech stack</li>
<li>Autonomy and positivity—We’re a fully remote, globally distributed team</li>
<li>Teamwork—Enjoy a collaborative approach</li>
<li>Adaptability—Operate with a startup mindset and move at a startup pace</li>
</ul>
<p><strong>The Benefits</strong></p>
<ul>
<li data-stringify-indent="0" data-stringify-border="0">Every other Friday off (26 extra days off a year)</li>
<li data-stringify-indent="0" data-stringify-border="0">Remote and flexible</li>
<li data-stringify-indent="0" data-stringify-border="0">Explore and Relocation programs (three months work abroad or full international relo)</li>
<li data-stringify-indent="0" data-stringify-border="0">Paid sick days and local holidays</li>
<li data-stringify-indent="0" data-stringify-border="0">Business English classes program</li>
<li data-stringify-indent="0" data-stringify-border="0">Continuous Learning Support</li>
<li data-stringify-indent="0" data-stringify-border="0">Fitness and/or Mental Health Subscriptions</li>
<li data-stringify-indent="0" data-stringify-border="0">Access to LokaLabs™, our internal research and development program</li>
<li data-stringify-indent="0" data-stringify-border="0">Defined career path</li>
</ul>
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<p><em>Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. </em></p>
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