AI Research Scientist
Listed on 2026-06-02
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Research/Development
Data Scientist, Artificial Intelligence -
IT/Tech
AI Engineer, Data Scientist, Artificial Intelligence, Machine Learning/ ML Engineer
Locked In AI is the #1 real-time AI interview and meeting copilot, trusted by over 1 million users worldwide. We are building the most advanced AI-powered career preparation platform that helps users perform better in interviews, assessments, and professional communication.
Our platform delivers real-time AI assistance during live interviews, coding rounds, and meetings, enabling users to communicate with clarity, confidence, and precision.
Role OverviewWe are hiring a curiosity-driven AI Research Scientist to push the boundaries of applied artificial intelligence. This role combines deep research with real-world product impact. You will design new algorithms, develop novel AI architectures, and run rigorous experiments that directly improve our real-time AI copilot used by over 1 million users.
You will work at the frontier of NLP, dialogue systems, speech intelligence, and generative AI, ensuring research directly translates into production systems.
Key Responsibilities Foundational Research & Algorithm Design- Conduct advanced research in NLP, LLMs, dialogue systems, and generative AI
- Develop new architectures, training methods, and inference techniques
- Formulate research problems based on real-world interview AI challenges
- Publish research in top-tier AI conferences where applicable
- Design rigorous experiments with strong statistical validation
- Conduct ablation studies, model analysis, and performance diagnostics
- Build evaluation frameworks for real-time conversational AI systems
- Ensure reproducibility and scientific rigor in all research work
- Translate research ideas into production-ready systems
- Optimize models for latency, efficiency, and scalability
- Collaborate with engineering teams to deploy research innovations
- Design research with real-world constraints in mind
- Improve multi-turn dialogue understanding and context retention
- Work on retrieval-augmented generation (RAG) improvements
- Research personalization and adaptive AI response systems
- Explore speech, audio, and multimodal AI advancements
- Mentor junior engineers and researchers
- Present findings to leadership and cross-functional teams
- Contribute to AI roadmap and research strategy
- Collaborate with external research communities
- 3+ years of AI/ML research experience
- Strong record of research publications or applied research impact
- Experience translating research into production systems
- Experience working with cross-functional engineering teams
- Startup or fast-paced environment experience preferred
- PhD in Computer Science, AI, NLP, Machine Learning, or related field preferred
- Master’s with strong research track record also considered
- Deep expertise in Transformers, LLMs, and generative AI
- Strong Python and PyTorch/JAX/Tensor Flow skills
- Experience with NLP, RLHF, RAG, and model evaluation techniques
- Strong mathematical foundation in probability, statistics, and optimization
- Experience with distributed training and experiment tracking tools
- Research in real-time AI or conversational systems
- Experience with speech AI or multimodal learning
- Work on model efficiency (distillation, quantization, compression)
- RLHF, DPO, or alignment research experience
- Contributions to open-source AI projects
- Startup or early-stage product experience
- Competitive salary and meaningful equity
- Remote-first flexibility
- High-impact AI research environment
- Opportunity to ship research into production at scale
- Fast-paced startup culture with real-world AI applications
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