Engineering Manager- Data Science (Search and Match)

Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.

Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.

10+ yrs of working experience in MLData science with NLP background

Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.

Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .

Experience with Solr /OpenSearch/ Elasticsearch …

Experience with embedding & vector search

Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML( Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs( TensorFlow , PyTorch ).

Experience in leading a team of 3-5 data scientists.

Experience using tools to deploy models into the production environment such as Jenkins

Experience with Cloud infrastructure and platforms (Azure, AWS)

Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.

Experience with IR & RecSystems (Candidate retrieval vs re-ranking, cold start …)

Engineering Manager, Data Science- 10 years+

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About Bold We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.