Job  Board

AI Research Scientist — Job Description

About the Company

LockedIn AI is a fast-growing AI-native platform building real-time interview and meeting assistance tools used by over 1 million users worldwide. The company focuses on helping candidates perform better in interviews, coding assessments, and professional communication through advanced generative AI systems.

Job Title

AI Research Scientist

Employment Type

Full-Time

Remote (US-Based) · Optional hybrid in New York, NY

Reports To

Co-Founder / CEO

Role Overview

We are looking for a highly skilled AI Research Scientist to advance the state of applied artificial intelligence powering our real-time AI copilot. This role sits at the intersection of cutting-edge research and production systems.

You will design novel algorithms, conduct rigorous experiments, and translate research breakthroughs into scalable AI systems that directly improve real-time conversational intelligence for millions of users.

This is not purely theoretical research—you will own problems from hypothesis to production impact.

Key Responsibilities

1. AI Research & Innovation

1. Conduct original research in NLP, LLMs, dialogue systems, and generative AI
2. Develop new model architectures, training strategies, and inference techniques
3. Identify research problems derived from real-time interview and communication challenges
4. Produce high-quality research suitable for top-tier AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.)

2. Experimentation & Evaluation

1. Design statistically rigorous experiments with clear hypotheses and baselines
2. Build evaluation frameworks for real-time conversational AI performance
3. Perform ablation studies, error analysis, and model diagnostics
4. Ensure reproducibility using structured experiment tracking and evaluation pipelines

3. Research-to-Production Systems

1. Translate research prototypes into production-ready systems at scale
2. Optimize models for latency, cost, and real-time inference constraints
3. Work closely with engineering teams on deployment and optimization
4. Apply techniques such as distillation, quantization, and retrieval optimization

4. NLP, Dialogue & Multimodal AI

1. Improve multi-turn dialogue understanding and long-context reasoning
2. Advance retrieval-augmented generation (RAG) systems
3. Research personalization and adaptive response generation
4. Explore speech, audio, and multimodal AI for real-time communication systems

5. Leadership & Collaboration

1. Mentor engineers and junior researchers
2. Collaborate with product and engineering teams to define research priorities
3. Communicate complex research insights to non-technical stakeholders
4. Contribute to long-term AI research roadmap and strategy

Required Qualifications

Experience

1. 3+ years in AI/ML research or applied machine learning
2. Strong track record of publications or equivalent research impact
3. Experience deploying research into production systems
4. Experience working in cross-functional teams

Education

1. PhD in Computer Science, AI, NLP, Machine Learning, or related field
2. Master’s candidates with strong publication records may be considered

Technical Skills

1. Strong expertise in deep learning and transformer-based architectures
2. Proficiency in Python and frameworks such as PyTorch, JAX, or TensorFlow
3. Experience with NLP techniques: LLMs, RAG, fine-tuning, RLHF, DPO
4. Strong background in mathematics: probability, statistics, optimization
5. Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)

Preferred Qualifications

1. Experience with real-time or low-latency AI systems
2. Work in conversational AI, dialogue systems, or human-AI interaction
3. Background in speech recognition or multimodal AI systems
4. Research in model efficiency (compression, distillation, quantization)
5. Contributions to open-source ML/AI projects
6. Startup or early-stage company experience

What We Offer

1. Competitive equity in a fast-growing AI company
2. Impact at scale: your work affects 1M+ users
3. Remote-first flexibility with optional NYC collaboration
4. High-velocity research-to-production environment
5. Ownership of meaningful AI research direction

Why Join

1. Build category-defining AI interview and communication systems
2. Work on real-time AI systems used in high-stakes scenarios
3. See your research deployed directly into production
4. Join a fast-moving AI-native team solving real-world problems at scale

How to Apply

Applicants should submit:

1. Resume or CV
2. Short note on motivation and relevant experience
3. Links to publications, GitHub, or technical projects (optional but encouraged)