Machine Learning
hace 4 días
**Overview**:**Job Title**: Senior Full-stack Engineer**Work Arrangement**: Remote| Must be able to work EST hours**Job Type**: Full-time**Salary**: Competitive base salary in USD**Industry**: PropTech / B2B SaaS / Real Estate Technology**Work Schedule**: 40 hours per week**About Pearl Talent**:Hear why we exist, what we believe in, and who we’re building for: Watch here** Why Work with Us?**:**About the company**:Our partner company helps the world’s most prominent companies navigate their most important brand, reputation, and product challenges. We specialize in high-impact research with hard-to-reach audiences -- recruiting the exact audiences our clients need, anywhere in the world. Our in-house teams ensure rigorous quality, rapid execution, and clear, strategic insights. Every engagement is custom-built, senior-led, and designed to deliver answers that drive key decisions.Key Responsibilities- Train and evaluate ML models using common machine learning frameworks in Python. Examples include TensorFlow, Keras, scikit-learn, or PyTorch.- Develop and refine NLP pipelines (e.g., tokenization, entity recognition, similarity models).- Perform fine-tuning and prompt engineering for LLMs (GPT, Claude, etc.).- Create semantic search and recommendation models using vector embeddings and clustering techniques.- Conduct experiments, hyperparameter tuning, and performance benchmarking.- Collaborate with software engineers to integrate models into backend systems.- Prepare clear documentation, model cards, and evaluation reports.**Requirements**:**Required Skills**:- Strong proficiency in Python for machine learning and data processing.- Experience with NLP libraries: spaCy, Hugging Face Transformers, gensim, nltk.- Comfortable training deep learning models using Keras, TensorFlow, or PyTorch.- Ability to design and execute ML experiments, evaluate models, and interpret results.- Familiar with version control (Git), shell scripting, and Linux development environments.- Basic back end software engineering skills, such as creating and managing endpoints, database services, and task queues.- Experience with production environments (e.g., batch inference, model packaging)..Nice to Have- Experience with MLOps tools (e.g., MLflow, SageMaker, DVC).- Contributions to Kaggle competitions, AI research, or open-source ML/NLP projects.- Background in classical ML, unsupervised learning, or semantic modeling.Working Conditions- Fully remote, must be able to collaborate during EST hours.- Focused environment for pure AI/ML development, research, and delivery.**Benefits**:Why Join Now- Be a foundational member of a venture-scale company with real distribution advantages in real estate.- Own key technical systems from day one, shaping how they evolve.- Culture built on speed, iteration, and execution.**What You’ll Get**:- Professional Development: Annual learning budget for books, courses, and conferences- Mentorship: Learn directly from startup veterans (ex-Looker, GitHub, Mulesoft)- Impact: Help shape a growing brand with a voice that influences fintech innovation- Inspiring Workspaces: Offices in Berlin, New York, and London, with travel opportunities- Flat Hierarchy: Work directly with founders and have your ideas heard- Flexible Work Setup: Equipment of your choice, strong home office support**Hiring Process**:- Application- Screening- Top-grading Interview- Skills Assessment- Client Interview- Offer- Onboarding
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