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> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <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> <div> <div class="job__description body"> <div> <p><em>Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.&nbsp;</em></p> </div> </div> </div>