Job description
Series A AI Startup
Machine Learning Engineer
π Hybrid β NYC
π° $187β270k + Equity
π¬ 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:
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Simplifying complex ML systems into maintainable, modular components
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Collaborating with security engineers to embed privacy and compliance into AI systems
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Designing and implementing LLM-based solutions that legal experts actually trust and use
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Creating robust model evaluation frameworks to minimize bias and drift
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Optimizing models with smart feature engineering for real-world use cases
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Building pipelines that prioritize reproducibility and scalability from day one
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Developing NLP systems that parse dense legal language with precision
What We're Looking For
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An MS or PhD in ML, CS, or related field
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Solid engineering chops and production ML experience
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Deep comfort with both traditional NLP and modern LLM architectures
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Experience fine-tuning models for specific domains
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Strong Python + PyTorch/TensorFlow skills
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Thoughtful approach to evaluation metrics, especially in edge-case-heavy NLP
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Communicative, collaborative, and a self-starter who minimizes scope to maximize impact
Nice to Haves
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Experience with regulated industries or sensitive data
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Background in legal or financial text analysis
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Prompt engineering or few-shot learning experience
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Passion for law, economics, or language-heavy problem spaces
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Thrive in fast-paced, high-leverage startup environments
Benefits & Culture
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Hybrid schedule in Midtown NYC (steps from Bryant Park & Grand Central)
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401(k) retirement plan
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Medical, dental & vision insurance
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Unlimited PTO & sick days
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Gympass (Wellhub) membership
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Commuter benefits
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Team offsites & collaborative, high-performing culture
Research shows women and underrepresented candidates often hesitate to apply unless they meet 100% of the criteria. If youβre excited about this role but donβt check every box, we still encourage you to apply. Weβd love to hear from you.