Kiddom
Senior Machine Learning Engineer
San Francisco · Senior · Full-time
Sponsorship not specified$185k-$280kDetected 426 days ago
PythonSQLMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasLLMsResearchLeadershipCommunicationCollaboration
About the role
- Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities.
- Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
- Average use 4 weeks off per year. * 10 paid sick days per year (pro rated depending on start date) * Paid holidays * Paid bereavement leave * Paid family leave after birth/adoption.
Responsibilities
- 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.
- Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization.
- Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders.
- Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use.
Requirements
- Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments.
- Experience implementing and fine-tuning large language models (LLMs), including prompt engineering, embeddings, and efficient inference optimization.
- Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF.
Compensation
- Average use 4 weeks off per year. * 10 paid sick days per year (pro rated depending on start date) * Paid holidays * Paid bereavement leave * Paid family leave after birth/adoption.
Benefits
- Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom's teacher helper and insight engine.
- Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes.
- Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs.
- Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems.
- Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1-2 years in a technical leadership role.
- Deep expertise in modern deep learning frameworks and advanced LLM architectures.
- Self-motivated innovator who thrives in fast-moving environments and is excited to explore emerging AI techniques to solve meaningful problems in education.
- Passion for applying cutting-edge AI research to improve teaching workflows and personalize student learning at scale.
- medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance * One Medical membership (in participating locations) * Flexible vacation time policy (subject to internal approval).
Visa & Work Authorization
- nd applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability,
This listing is sourced directly from Kiddom's careers page and normalized into a canonical job model.