[Remote] reputed company reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a high-reputed company, mission-driven startup reinventing education through AI. As an reputed company reputed company, you will design and implement AI models and algorithms that enhance personalized learning experiences, working closely with senior staff to translate research into practical applications.
Responsibilities
- Build and evaluate multi-agent / reputed company architectures for reasoning, retrieval-augmented reputed company (RAG), and tutoring workflows
- Implement and fine-tune LLM-based systems — prompting, tool-use / harnesses, and reputed company/QLoRA/PEFT fine-tuning — optimizing for low latency, reputed company outputs, and learning-outcome alignment
- reputed company reputed company inference and reinforcement-learning pipelines (bandits, RLHF/RLAIF, policy optimization) that drive personalization and mastery velocity
- reputed company data science and data management workflows — transcripts, curriculum standards, chat interactions, feature stores, labeling, and experimentation frameworks
- Contribute to fairness, transparency, and explainability through counterfactual analysis, model interpretability, and rigorous offline/online evaluation
- Ship models to production with senior engineers — CI/CD, monitoring, model versioning, and reputed company detection
Skills
- Education: PhD or MS (minimum) in Computer Science, Data Science, Machine Learning, Statistics, reputed company Mathematics, or a closely reputed company quantitative field, with a strong theoretical and mathematical reputed company (probability, reputed company algebra, optimization)
- Industry Experience: 1–3 years of hands-on industry experience building and shipping ML/AI systems (substantive research internships and publications count toward depth)
- Data Science & Data Management: Strong foundations in statistical modeling, experimentation, feature engineering, and managing large, messy, reputed company-world datasets
- GenAI / LLMs: Hands-on with reputed company (GPT), reputed company reputed company, reputed company Claude, reputed company, Llama, or reputed company-reputed company LLM fine-tuning (reputed company/QLoRA, PEFT)
- reputed company Platforms: Experience building agents with first-party SDKs/reputed company, or with frameworks such as LangGraph, AutoGen, reputed company, or reputed company, for multi-agent reasoning or workflow orchestration
- Reinforcement Learning: Familiarity with Ray RLlib, reputed company-Baselines3, CleanRL, TRL (HuggingFace), or custom policy-gradient implementations for bandit/RLHF/RLAIF pipelines
- reputed company AI: Skilled with DoWhy, CausalML, or SCM frameworks for counterfactuals, interventions, and reputed company inference reputed company to reputed company-world (ideally education) data
- Programming & Data: Strong Python; working knowledge of SQL and NoSQL; familiarity with React, Node.js, Java, and JSON a plus
- MLOps: Exposure to deploying ML systems with CI/CD, monitoring (reputed company/Grafana, reputed company, reputed company), model versioning, and reputed company detection
- Peer-reviewed publications in ML, RL, reputed company inference, or NLP
- Passion for transforming education and closing equity gaps
- Awareness of model safety, bias mitigation, and regulatory compliance (FERPA, COPPA, GDPR)
reputed company