Machine Learning Engineer
Role summary
We are seeking a Machine Learning Engineer to join our growing team and build scalable ML systems for real-world products. You will be responsible for developing and deploying machine learning models, processing large datasets, engineering features, and creating ML pipelines and infrastructure. This role involves collaboration with data scientists and engineers to optimize model performance and reliability. We are looking for candidates with 2-5 years of experience in Machine Learning/AI, strong Python skills (TensorFlow, PyTorch, Scikit-learn), and familiarity with Docker, Kubernetes, APIs, and cloud platforms (AWS, GCP, Azure). Experience with LLMs/GenAI is a plus.
🤖 Machine Learning Engineer – USA
📍 Location: San Francisco / New York / Austin (Remote / Hybrid)
💼 Type: Full-time
🚀 About the Role
We’re hiring a
Machine Learning Engineer
to build scalable ML systems powering real-world products. Join a fast-growing team working on cutting-edge AI solutions.
💼 What You’ll Do
- Build and deploy
machine learning models into production
- Work with large datasets for
data processing & feature engineering
- Develop
ML pipelines and scalable infrastructure
- Collaborate with data scientists & engineers
- Optimise models for performance and reliability
🎯 What We’re Looking For
- 2–5 years experience in
Machine Learning / AI
- Strong
Python (TensorFlow / PyTorch / Scikit-learn)
- Experience with
Docker / Kubernetes / APIs
- Familiar with
cloud (AWS / GCP / Azure)
- Solid understanding of
statistics & algorithms
- Experience with
LLMs / GenAI
is a plus
💰 What You’ll Get
- $130,000 – $190,000+ 💸
- Remote / Hybrid flexibility
- Equity / stock options
- Work on cutting-edge AI products
- Fast career growth
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