
Senior Applied Machine Learning Engineer – Search
Yurts
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $205,000 - $260,000 per year
Job Level
Tech Stack
About the role
- 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
Requirements
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata-driven algorithmsruntime complexityGenerative AIfine-tuningoptimizingevaluating LLMsRAG pipelinesAgentic AI systemsAI/ML/NLP techniques
Soft Skills
communicationownershipadaptabilitycollaborationproblem-solvinginnovationgrowth mindsetlow ego
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Machine LearningMaster’s degree in NLP