Machine LEarning Engineer

Posted 19 August 2025
Job type Permanent
Reference34137

Job description

Series A AI Startup
Machine Learning Engineer
πŸ“ Hybrid – NYC
πŸ’° $187–270k + Equity
πŸ’¬ Full job description to be provided ahead of screening call with Primis

What You'll Be Doing:
We're looking for a Machine Learning Engineer to help our client build scalable, production-grade systems that tackle complex legal and financial text. Your work will directly power their legal benchmarking platform, used by top-tier institutions to extract insights from some of the most nuanced documents in the world.

 

You might find yourself:

  • Simplifying complex ML systems into maintainable, modular components

  • Collaborating with security engineers to embed privacy and compliance into AI systems

  • Designing and implementing LLM-based solutions that legal experts actually trust and use

  • Creating robust model evaluation frameworks to minimize bias and drift

  • Optimizing models with smart feature engineering for real-world use cases

  • Building pipelines that prioritize reproducibility and scalability from day one

  • Developing NLP systems that parse dense legal language with precision

 

What We're Looking For

  • An MS or PhD in ML, CS, or related field

  • Solid engineering chops and production ML experience

  • Deep comfort with both traditional NLP and modern LLM architectures

  • Experience fine-tuning models for specific domains

  • Strong Python + PyTorch/TensorFlow skills

  • Thoughtful approach to evaluation metrics, especially in edge-case-heavy NLP

  • Communicative, collaborative, and a self-starter who minimizes scope to maximize impact
     

Nice to Haves

  • Experience with regulated industries or sensitive data

  • Background in legal or financial text analysis

  • Prompt engineering or few-shot learning experience

  • Passion for law, economics, or language-heavy problem spaces

  • Thrive in fast-paced, high-leverage startup environments

 

Benefits & Culture

  • Hybrid schedule in Midtown NYC (steps from Bryant Park & Grand Central)

  • 401(k) retirement plan

  • Medical, dental & vision insurance

  • Unlimited PTO & sick days

  • Gympass (Wellhub) membership

  • Commuter benefits

  • Team offsites & collaborative, high-performing culture

Research shows women and underrepresented candidates often hesitate to apply unless they meet 100% of the criteria. If you’re excited about this role but don’t check every box, we still encourage you to apply. We’d love to hear from you.