Machine Learning Engineer

Career Movement; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Career Movement in Downtown Los Angeles is seeking a senior machine learning engineer to design, train, and deploy ML and GenAI models across the full lifecycle, from research to production.

You will work with Python, PyTorch, TensorFlow, and LangChain, collaborating with infrastructure on GPUs and CI/CD for model serving, while evaluating new research to keep the team at the cutting edge of applied AI.

Qualifications

• 5+ years of industry experience in machine learning, applied AI, or data science.
• Hands on experience training or fine-tuning language models such as BERT, Llama, or GPT.
• Familiarity with techniques like LoRA, distillation, or quantization.

Responsibilities

• Design, train, and deploy ML and GenAI models across the full development lifecycle.
• Fine-tune large language models for production use cases.
• Work with ML tooling and LangChain in Python environments.
• Partner with infrastructure teams on GPU resources and CI/CD pipelines for model serving.
• Evaluate emerging research and tools to stay at the forefront of applied AI.

Skills

5+ years of ML industry experience

Language model practical experience

Rapid prototyping

Tools

Python

PyTorch

TensorFlow

LangChain

Job description

A large, established professional services organization in Downtown Los Angeles is hiring a senior machine learning engineer to help build and scale its applied AI and generative AI capabilities. This is a hands on role covering the full lifecycle of ML and GenAI applications, from designing and training models to fine-tuning large language models and deploying them into production.

Responsibilities:

• Design, train, and deploy machine learning and generative AI models across the full development lifecycle
• Fine-tune large language models for production use cases
• Work with modern ML and GenAI tooling including Python, PyTorch, TensorFlow, and LangChain
• Partner with infrastructure teams on GPU resources and CI/CD pipelines for model serving
• Evaluate emerging research and tools to keep the team at the forefront of applied AI

Requirements:

• 5 or more years of industry experience in machine learning, applied AI, or data science
• Hands on experience training or fine-tuning language models such as BERT, Llama, or GPT
• Familiarity with techniques like LoRA, distillation, or quantization