Senior Applied Machine Learning Engineer – Search

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🕒 February 13

🏄 California – Remote

🏄 California – Remote

💵 $205k - $260k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Yurts

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

Yurts is a technology company that specializes in developing AI-powered platforms for enterprises and government agencies. The company focuses on enhancing team efficiency by integrating AI assistants into everyday applications, providing solutions that streamline operations, automate workflows, and enhance security and privacy. With a strong emphasis on mission-critical security, Yurts holds credentials from departments like defense and energy, ensuring that data and operations are secure. Their platform supports secure deployment, real-time monitoring, and seamless integration with legacy systems, making it a trusted choice for organizations seeking to innovate and secure their operations.

📋 Description

• 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.