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Machine Learning Engineer

Intryc
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Hybrid (San Francisco, CA, US / Remote (US; GB; GR))$150k - $250k + equityFull-timePosted 1mo ago

About the role

Machine Learning Engineer at Intryc, a YC-backed startup building a unified quality assurance, governance, and training layer for human and AI CX agents. Role focuses on designing and deploying LLM-based systems, RAG pipelines, and improving model performance at scale.

Responsibilities

  • Collaborate with the team to design, implement, and fine-tune ML models, focusing on LLM-based systems.
  • Develop and enhance Retrieval-Augmented Generation (RAG) pipelines for intelligent query processing and knowledge retrieval.
  • Experiment with and evaluate pre-trained models and fine-tune them for specific tasks.
  • Work with large-scale datasets to ensure efficient indexing, retrieval, and contextual relevance.
  • Monitor and improve the performance and scalability of deployed models.
  • Stay updated with the latest research in LLMs, RAG, and related fields.
  • Assist in debugging, testing, and deploying machine learning pipelines.
  • Gather customer feedback and iterate on the models' accuracy based on customer use cases.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Foundational knowledge of machine learning algorithms and model development.
  • Understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications.
  • Basic knowledge of retrieval systems (e.g., Elasticsearch, FAISS, or vector databases).
  • Familiarity with the RAG paradigm or similar architectures for context-aware systems.
  • Proficiency in Python and common ML libraries.
  • Strong problem-solving skills and a passion for learning new technologies.

Skills

Required:Bachelor's degree in Computer Science, Data Science, or a related field.Foundational knowledge of machine learning algorithms and model developmentUnderstanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applicationsBasic knowledge of retrieval systems (e.g., Elasticsearch, FAISS, or vector databases)Familiarity with the RAG paradigm or similar architectures for context-aware systemsProficiency in Python and common ML librariesStrong problem-solving skills and a passion for learning new technologies

Benefits

  • You’ll get to work with incredible talent in a hot and fast-growing start-up in the Gen AI and LLM space.
  • Generous stock options.
  • Competitive salary.
  • Remote first policy with 25 days of holiday a year plus bank holidays.
  • Pension plan.
  • Private health insurance.
  • We’ll arm you with all of the latest tech equipment.
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Intryc

Intryc uses AI to automate quality assurance for customer support

Consumer enterprises have millions of customer support tickets annually. They need to constantly evaluate support agents’ performance and compliance. Typically they evaluate less than 5% of those interactions manually which is slow, expensive and not scalable. Intryc's AI can evaluate 100% of all customer interactions, in real time, at half the cost.

customer-successanalyticscustomer-supportoperations
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