Machine Learning Engineer

Worcester, Massachusetts, United StatesHybridFull Time$130,000–$190,000 /yrPosted 2 months ago

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Role summary

We are seeking a Machine Learning Engineer to join our fast-growing team focused on cutting-edge AI solutions. In this role, you will be responsible for building and deploying scalable machine learning systems that power real-world products. You will work with large datasets, develop ML pipelines and infrastructure, and optimize models for performance and reliability. This full-time position offers remote/hybrid flexibility and competitive compensation.

🤖 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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