Senior Machine Learning Engineer

optimis tech β€’ United State
Remote
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AI Summary

We are seeking a Senior Machine Learning Engineer to design, train, and deploy machine learning models in production. The ideal candidate will have 5+ years of experience in machine learning or applied AI engineering and strong Python expertise. This is a high-impact role for engineers who thrive in start-up environments and enjoy solving challenging problems in AI and machine learning.

Key Highlights
Design, train, and deploy machine learning models in production
Work with engineering and product teams to integrate ML capabilities
Optimize models for performance, scalability, and reliability
Key Responsibilities
Design, train, and deploy machine learning models in production
Build scalable ML pipelines for training and inference
Work with engineering and product teams to integrate ML capabilities
Technical Skills Required
Python PyTorch TensorFlow Machine Learning Infrastructure Cloud Platforms LLMs NLP Deep Learning
Benefits & Perks
$220,000 base salary
Competitive equity package
Fully remote (US-based)

Job Description


πŸ”₯πŸ”₯ SENIOR MACHINE LEARNING ENGINEER – REMOTE US – VC-BACKED AI STARTUP πŸ”₯πŸ”₯


Role: Senior ML Engineer

Location: Remote (United States)

Employment: Full-time

Salary: $220,000 base (negotiable for the right candidate)


We are partnering with a VC-backed AI start-up building production machine learning systems and LLM-powered products for enterprise applications. The company is expanding its engineering team and seeking a Senior Machine Learning Engineer with deep experience deploying ML models in production environments.

This is a high-impact role for engineers who thrive in start-up environments and enjoy solving challenging problems in AI and machine learning.


Responsibilities

  • Design, train, and deploy machine learning models in production
  • Build scalable ML pipelines for training and inference
  • Work with engineering and product teams to integrate ML capabilities
  • Optimize models for performance, scalability, and reliability
  • Contribute to LLM pipelines, AI agents, or advanced ML systems
  • Stay current with ML research and apply best practices


Requirements

  • 5+ years experience in machine learning or applied AI engineering
  • Strong Python expertise and experience with PyTorch or TensorFlow
  • Experience deploying ML models to production environments
  • Knowledge of ML infrastructure and cloud platforms
  • Experience with LLMs, NLP, or deep learning
  • Ability to work autonomously in startup environments


Compensation

  • Base salary: $220,000 (negotiable for exceptional candidates)
  • Competitive equity package
  • Fully remote (US-based)


Interested? Contact info@optimistech.co to learn more about this fantastic opportunity!


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