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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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1272 Poydras ST, STE-#907, New Orleans, LA 70113, USA

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