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Education, Student Organization, Non-profit

Machine Learning Engineer

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 AI team in San Francisco, New York, or Austin. This full-time role involves building and deploying scalable ML systems for real-world products. You will work with large datasets, develop ML pipelines, and optimize models for performance and reliability. The ideal candidate has 2-5 years of experience in Machine Learning/AI, proficiency in Python with frameworks like TensorFlow or PyTorch, and experience with Docker, Kubernetes, APIs, and cloud platforms (AWS, GCP, Azure). Familiarity with LLMs/GenAI is a plus. This position offers remote/hybrid flexibility and a competitive salary.

🤖 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
Ready to apply?
You'll be redirected to Communication Students' Association of Anchor University's application page.

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