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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
π₯π₯ SENIOR MACHINE LEARNING ENGINEER β REMOTE US β VC-BACKED AI STARTUP π₯π₯
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
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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
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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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