Kiddom · 4 months ago
Machine Learning Research Engineer
San Francisco
Full-time
Hybrid
Senior Level
$175K/yr - $250K/yr
5+ years expKiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. The Machine Learning Research Engineer will be part of the Data Science team, focusing on building machine learning systems that enhance search, personalization, and recommendations to support teachers and students.
E-LearningEdTechEducationSoftware
Responsibilities
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
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 closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth
Qualification
Required
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
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
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders
Preferred
Deep expertise in modern deep learning frameworks and advanced LLM architectures
Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use
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
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
Benefits
Competitive salary
Meaningful equity
Health insurance benefits: 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). 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. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
Commuter and FSA plans
Company
Kiddom
Kiddom is an education platform offering a digital curriculum to engage students virtually or in the classroom.
201-500 employees
H1B Sponsorship
Kiddom has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (1)
2022 (1)
2021 (5)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$56.5MKey Investors
Altos VenturesOwl VenturesKhosla Ventures
2021-08-13Series C· $35M
2018-03-14Series B· $15M
2017-03-09Series A· $6.5M
Leadership Team
Ahsan Rizvi
CEO/ Founder
Abbas Manjee
Co-Founder and Chief Academic Officer
Recent News
2025-11-18
2025-10-27
Company data provided by crunchbase