Mô tả công việc:
(Mức lương: Thỏa thuận)AI Engineer #1 – Adaptive Feedback & Assessment
Mission: Own the brains behind Genie’s instant feedback: deliver marking, commenting, and note-summary models that feel human, hit 95 % accuracy, and answer in
Key Responsibilities:
- Train & fine-tune NLP / vision models for Math & Science auto-marking, AI commenting and class-note summarisation.
- Build retrieval-augmented explanation pipelines so every hint cites workbook lines or teacher notes.
- Ship fast: instrument latency, automate regression tests on 2 k+ sample sets, and roll out safely via feature flags.
- Work with Curriculum to label edge-case data and measure real-world accuracy weekly.
- Add guard-rails — bias checks, “double-check with a teacher” fallback when confidence dips.
Success Looks Like:
- 95 %+ exact-match score on marking benchmark; p95 latency
- Models & infra ready for staged roll-outs (staff beta all) with zero downtime.
AI Engineer #2 – Learner Graph & Recommendations
Mission: Design the intelligence that makes Genie a “smart-cool friend” — a mastery graph, progress road-maps, and streak-goal engine that boost weekly practice by +20 %.
Key Responsibilities:
- Model concept mastery and temporal learning gaps in a graph database (Neo4j / Amazon Neptune).
- Build recommender services that output next-best-question sets and personalised streak targets.
- Collaborate with Product & Design to expose explainer APIs (“Why Genie recommended this”).
- Own real-time data pipelines (Kinesis / Kafka) feeding the graph with practice logs and class interactions.
- A/B test algorithms; lift practice minutes by 15 %, track WAU/MAU and retention impact.
Success Looks Like:
- Recommender boosts average practice minutes +15 % within 7 days of exposure.
- Gen-2 streak engine live by 15 Oct 2025 with
- Learner Graph uptime 99.9 %,
Chức vụ: Nhân Viên/Chuyên Viên
Hình thức làm việc: Toàn thời gian
Quyền lợi được hưởng:
Bonus & Salary increment 1 times per year15 Days
Sales Awards
Yêu cầu bằng cấp (tối thiểu): Trung cấp - Nghề
Yêu cầu công việc:
AI Engineer #1 – Adaptive Feedback & Assessment
Must-Haves
- 3 + yrs building NLP or multimodal ML systems in Python (PyTorch / TensorFlow).
- Hands-on with transformers, LoRA / PEFT, RAG, and prompt-engineering best practice.
- Solid software chops: FastAPI or equivalent, CI/CD, Docker/K8s, AWS or GCP.
- Obsessed with measurement and rapid experiment cycles.
Nice-to-Haves
- Education-tech, grading, or document-understanding experience.
- Familiarity with Vision-Language models for diagram questions.
- Singapore work authorisation (role is SG-hybrid; remote SEA considered for the right fit).
AI Engineer #2 – Learner Graph & Recommendations
Must-Haves
- 3 + yrs in recommender systems, graph or sequence modelling, strong SQL + Python.
- Production experience with graph databases and AWS data tooling (Glue, Redshift, Kinesis).
- Proven A/B experimentation mindset; fluent in statistical evaluation.
- Ability to partner with front-end teams on SDK contracts and telemetry.
Nice-to-Haves
- Reinforcement-learning or bandits in user-engagement contexts.
- Prior work on gamification or ed-tech analytics.
- Familiarity with TypeScript/React for light SDK contributions.
Why Geniebook?
- Mission — help Every1 reach A1 using cutting-edge AI.
- Scale — millions of answers, live classes, and chat sessions to learn from.
- Autonomy — own a pillar of the 2025_2027 roadmap and see it in customers’ hands fast.
- Culture — small, execution-obsessed team where shipping beats slide-ware.
Yêu cầu giới tính: Nam/Nữ
Ngành nghề: IT Phần Mềm,Machine Learning,Python
Trung cấp - Nghề
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