The Opportunity:
Our client, a category-defining AI platform company based in the San Francisco Bay Area, is seeking a Machine Learning Engineer (Search Quality) to help build the next generation of AI-powered product experiences. In this role, you'll focus on improving ranking, relevance, and personalization within large-scale search systems. You'll develop new signals, train advanced models, and explore innovative ways of integrating large language models into retrieval systems, directly shaping how users discover and interact with information.
What You'll Be Doing:
Develop and introduce novel ranking signals to improve personalization and relevance across the search experience.
Train and optimize machine learning models that capture complex interactions within large-scale ranking systems.
Design and implement domain-adaptation strategies to tailor language models to specialized data environments.
Explore innovative approaches for combining LLMs with search infrastructure to answer nuanced and multi-step queries.
Analyze data and run experiments to continuously improve retrieval quality and evaluation metrics.
Write clean, maintainable, and well-tested production code.
Collaborate closely with cross-functional partners to translate technical improvements into meaningful product impact.
Contribute to a strong engineering culture through knowledge sharing and mentorship.
What You'll Need To Be Successful:2-5 years of professional experience in machine learning or software engineering.
Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
Hands-on experience working with search systems, recommendation engines, natural language processing, or other large-scale ML-driven systems.
Strong analytical skills with comfort working directly with data to improve model performance.
Proven ability to design, train, evaluate, and deploy production-ready ML models.
Proficiency in an ML framework of your choice (e.g., PyTorch, TensorFlow, etc.).Strong programming skills in languages such as Python, Go, Java, or C++.Ability to thrive in a collaborative, fast-moving environment.
Ownership mindset with a proactive approach to experimentation and continuous improvement.
Compensation Range: $150,000 - $265,000 + Equity.
