AI Engineer (Adaptive Feedback & Assessment/ Learner Graph & Recommendations)

Mô tả công việc:

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:

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