BOLD

BOLD

BOLD is a tech company dedicated to transforming work lives by providing online products, tools, guidance, and support for job seekers, employers, and businesses. Founded by passionate entrepreneurs, BOLD empowers individuals to reach their professiona...

Internet Software & Services
251-1K
Founded 2004

Description

  • Work on data science projects involving predictive modeling, NLP, statistical analysis, vector space modeling, and machine learning.
  • Analyze large user datasets to generate insights for Product and Management teams.
  • Perform research and develop models and data products in collaboration with Development and Product teams.
  • Build novel and scalable data systems with system architects to improve the user experience.
  • Collaborate with Engineering, Portals, BI, Product, and Legal on cross-functional initiatives.
  • Support projects such as resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis.
  • Explore and apply state-of-the-art methods to keep the team’s work aligned with current technology.
  • Improve product offerings by using machine learning techniques and predictive algorithms.

Requirements

  • 2.5+ years of experience for Software Engineer roles or 4.5+ years for Senior Software Engineer roles.
  • Expert knowledge of Python.
  • Knowledge of statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, and ensemble methods.
  • Practical LLM/RAG experience for search quality use cases such as query understanding, semantic retrieval, and reranker design.
  • Experience with prompt-engineering frameworks such as LangChain or CrewAI.
  • Experience with Solr, OpenSearch, or Elasticsearch.
  • Experience with embedding and vector search.
  • Experience with fine-tuning LLMs on one or more projects.
  • Experience in feature selection and building and optimizing classifiers.
  • Experience with backend technologies such as Flask or Gunicorn, open-source NLP libraries such as SpaCy, NLTK, and Gensim, and deep-learning libraries such as TensorFlow or PyTorch.
  • Experience with software stack components including programming languages, backend technologies, database modeling, continuous integration, service-oriented architecture, and software testability.
  • Strong interest in learning and developing software.

Interested in this position?

Apply directly on the company website

Apply Now

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