Lead the development of machine learning models and data-driven algorithms for high impact projects
Collaborate with product and platform teams to own ML solutions end-to-end
Understand the runtime complexity of algorithms and the cost to run ML models at a production scale
Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders
Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast
Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion
Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime
Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company

Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP
Minimum 5+ years of experience in applied machine learning, with a track record of delivering enterprise products
Proven experience in Generative AI, including fine-tuning, optimizing, and evaluating LLMs, RAG pipelines, and Agentic AI systems
Strong proficiency with AI/ML/NLP techniques, resources and methodologies (ex: Huggingface, Spacy, Scikit-learn, Pytorch).
Comfortable supporting production systems and debugging challenges in distributed systems
Demonstrated effectiveness in using AI tooling to accelerate research and development workflows
Growth mindset and low ego
you’re eager to pick up new tools and technologies, learn from others, and being open to changing course when it’s right.

Senior Applied Machine Learning Engineer – Search

Key skills