RRemoteville
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Senior Machine Learning Engineer

Skills
Analytical SkillsCross-Functional CollaborationsData ManipulationData ScienceEnhanced Data Rates For GSM EvolutionFosteringLearning Outcomes
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of industry experience applying machine learning to real-world problems with large complex datasets
  • 1 to 2 years in a technical leadership role
  • Proven track record designing evaluating and deploying ML or AI systems in production that drive measurable business impact
  • Experience in recommendation personalization search or workflow optimization
  • Strong programming skills in Python
  • Fluency in SQL and Pandas for data manipulation
  • Experience with scikit-learn XGBoost TensorFlow or PyTorch
  • Strong analytical skills to break down complex problems into measurable hypotheses and experiments
  • Excellent communication and cross-functional collaboration skills

Nice to have

  • Deep expertise in modern deep learning frameworks
  • Advanced LLM architecture knowledge
  • Evaluation pipeline experience
  • LLM fine-tuning experience
  • Prompt engineering skills
  • Embeddings expertise
  • Efficient inference optimization
  • PEFT knowledge
  • LoRA knowledge
  • RLHF familiarity
  • Self-motivated innovator
  • Passion for education AI

Day to day

  • Architect and scale machine learning systems for search personalization and recommendations that power teacher helper and insight tools
  • Develop evaluation-first workflows to measure model impact on teaching efficiency lesson planning and student learning outcomes
  • Fine-tune machine learning models using teacher and student feedback to align outputs with instructional goals and classroom needs
  • Design intelligent discovery pipelines that combine semantic retrieval curriculum alignment and real-time personalization
  • Build agentic assistants that help teachers plan lessons adapt instruction and reduce repetitive tasks
  • Collaborate with product designers and curriculum experts to translate educational goals into scalable ML systems
  • Coach and mentor junior ML engineers and data scientists to support technical and professional growth