Yurts

The Next Evolution of Enterprise AI

Senior Applied Machine Learning Engineer – Search

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

25 days ago

Salary

$205K - $260K / year

Bachelor Degree5 yrs expEnglishDistributed SystemsPy TorchScikit Learn

Job 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

Job 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.

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