Machine Learning Engineer

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