AI/ML Engineer

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Home » AI/ML Engineer — Job Posting

Home » AI/ML Engineer — Job Posting

AI/ML Engineer — Job Posting

• 33 Irving Pl, Manhattan, New York, United States
• Full-time
• $150000
• - $220000

Overview

We are looking for a production-minded

AI/ML Engineer to design, build, train, and deploy the machine learning systems that power our real-time copilot.

This is a full-stack ML role spanning the entire lifecycle — from data pipelines and model training to deployment, optimization, and monitoring in production.

You will work at the intersection of LLMs, speech AI, retrieval systems, and real-time inference , building systems that must be fast, reliable, and scalable for millions of users.

Responsibilities

Key Responsibilities

• Model Development & Training
• Build, train, and fine-tune ML models including LLMs, NLP systems, and speech-to-text models
• Apply modern techniques like LoRA, QLoRA, DPO, RLHF, and adapters
• Design high-quality training datasets through cleaning, annotation, and augmentation
• Run experiments, ablations, and performance evaluations to improve model quality
• Real-Time Model Deployment
• Build low-latency inference pipelines for real-time AI responses
• Optimize performance using streaming, caching, batching, and quantization
• Deploy models using Docker, Kubernetes, and CI/CD pipelines
• Integrate multiple LLM providers with routing, failover, and orchestration systems
• RAG & AI Systems
• Build retrieval-augmented generation (RAG) pipelines using embeddings and vector databases
• Develop semantic search, summarization, classification, and NLP features
• Design prompt systems, tool calling, and multi-turn conversational flows
• Build agentic workflows with function calling and multi-step reasoning
• Evaluation & Monitoring
• Create automated and human evaluation systems for model quality
• Track latency, hallucinations, accuracy, cost, and user satisfaction metrics
• Implement drift detection and regression monitoring
• Optimize token usage and inference costs across models
• Data & Feature Engineering
• Build scalable data pipelines for training and production use
• Design feature extraction systems from user interactions and logs
• Implement data versioning, lineage tracking, and experiment tracking
• Collaborate with analytics and engineering teams on data infrastructure
• Safety & Responsible AI
• Implement guardrails, filters, and safety validation systems
• Evaluate models for bias, fairness, and robustness
• Ensure privacy-first design and secure handling of user data
• Support responsible AI practices across the ML lifecycle

Qualifications

Required Qualifications

Experience

3+ years in ML engineering or AI system development

Proven experience shipping production AI/ML systems end-to-end

Strong cross-functional collaboration experience

Startup Or Fast-paced Environment Experience Preferred

Technical Skills

Strong Python and ML frameworks (PyTorch, TensorFlow, JAX)

Deep understanding of transformers, deep learning, and optimization

Experience with LLM APIs (OpenAI, Anthropic, open-source models)

Hands-on RAG and vector database experience

Docker, Kubernetes, FastAPI, CI/CD for ML systems

Cloud platforms (AWS, GCP, or Azure)

Organization

LockedIn AI

Industry

AI/ML Engineer

Benefits

What We Offer

• Equity Ownership — meaningful early-stage equity
• High Impact — your work powers AI used by 1M+ users
• Fast Growth — ship production AI systems at startup speed
• Remote Flexibility — work from anywhere (US-based optional NYC hybrid)
• Strong Mission — build category-defining AI career tools
• Ownership Culture — full-stack responsibility from idea to production

Why Join Us?

• You’ll own core ML systems powering a real-time AI copilot
• You’ll work directly on cutting-edge LLM and speech AI systems
• You’ll build systems used in live interviews and real-world scenarios
• You’ll move faster than traditional big-tech ML environments
• You’ll help shape the future of AI-powered career tools

make a difference

Unlock Your Potential and Experience Tremendous Growth Opportunities

Achieve work/life balance, earn the money you deserve!

Explore career opportunities

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