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AI Research Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: LockedIn AI
Full Time position
Listed on 2026-06-02
Job specializations:
  • Research/Development
    Data Scientist, Artificial Intelligence
  • IT/Tech
    AI Engineer, Data Scientist, Artificial Intelligence, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

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 Overview

We 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
Experimentation & Evaluation
  • 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
Research-to-Production Impact
  • 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
NLP, Dialogue & Multimodal AI
  • 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
Scientific Leadership
  • 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
Required Qualifications Experience
  • 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
Education
  • PhD in Computer Science, AI, NLP, Machine Learning, or related field preferred
  • Master’s with strong research track record also considered
Technical Skills
  • 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
Preferred Qualifications
  • 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
What We Offer
  • 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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