Remote Senior Machine Learning Engineer

at Marker Learning

Posted 5 days ago 1 applied

Description:

  • Marker Learning is focused on making learning disability assessments more affordable and accessible for schools and parents.
  • The company aims to address the significant gap in diagnoses for learning disabilities, which affects 1 in 5 students.
  • The Senior Machine Learning Engineer will play a crucial role in developing AI-powered solutions that enhance the efficiency of the diagnostic process.
  • Responsibilities include owning the full ML lifecycle, from data pipelines to model evaluation, and building systems for AI document parsing, summarization, and chat-based report editing.
  • The role involves optimizing model performance and collaborating with engineers and product managers to deliver user-facing AI features.
  • The engineer will also establish best practices for LLM evaluations and improve technical design and observability across ML systems.

Requirements:

  • Candidates must have 8+ years of overall engineering experience.
  • A strong track record in shipping production ML systems is required.
  • Deep experience in ML infrastructure, pipelines, and model serving is essential.
  • Hands-on experience with LLMs, retrieval-augmented generation, or document intelligence is necessary.
  • Proficiency in Python and the ML ecosystem (e.g., PyTorch, LangChain, Weaviate, HuggingFace) is required.
  • Candidates should possess systems thinking skills, understanding how models interact with APIs, databases, and frontend features.
  • A bias for action and a pragmatic mindset are important, as well as the ability to thrive in a fast-moving startup environment.

Benefits:

  • Marker Learning is committed to building an inclusive environment that supports diverse backgrounds and experiences.
  • The company provides equal employment opportunities to all applicants, ensuring a fair hiring process.
  • Employees are encouraged to contribute to a mission-driven team focused on providing reliable and affordable testing for students.
  • The work environment is designed to enable everyone to perform at their best, fostering a culture of collaboration and support.