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About Noetica Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem ...

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Selected role

Machine Learning Engineer

Noetica New York, NY

$187k - $270k Senior Full-time

About Noetica
Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries.

We count many of the top law firms in the world among our customers.

To date we have raised ~$30M with our last round (Series A) led by Lightspeed.

We're fortunate to have been covered by Matt Levine, Bloomberg Law, and Business Insider, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others.

The Opportunity
The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.

Why We Need You
As a Machine Learning Engineer at Noetica, you'll contribute to the development of AI systems that extract actionable insights from complex legal documents and data. Our legal benchmarking platform requires sophisticated NLP and LLM implementations to analyze contractual language, identify legal patterns, and generate meaningful comparisons across thousands of documents. You will collaborate with a talented, cross-functional team of ML PhDs, legal SMEs, data, security, and product engineers. Your role directly impacts our competitive advantage by enabling more advanced features and analysis of complex legal documents.

Here's What You'll Be Doing
As a Machine Learning Engineer, you will:

Build ML models and pipelines with scalability and reproducibility as foundational principles, not afterthoughts.
Develop NLP systems that can accurately process and understand complex legal language and terminology.
Design and implement LLM-based solutions that are well-documented, and empower legal professionals to extract valuable insights.
Extend and create reliable model evaluation frameworks that ensure accuracy and reduce the risk of model drift or bias.
Simplify complex ML systems into more manageable solutions that are easier to understand, maintain, and explain.
Optimize model performance through smart feature engineering and efficient algorithm selection based on actual use cases.
Work with security engineers to implement responsible AI practices that protect sensitive data while still delivering valuable insights.

Required Qualifications

An MS or PhD in Computer Science, Machine Learning, or a related field with a focus in ML/AI.
2+ years of professional software engineering experience.
Practical experience with traditional NLP techniques and modern LLM architectures.
Proficiency with Python, PyTorch/TensorFlow, and ML deployment pipelines.
Direct experience building and fine-tuning language models for specialized domains.
Strong experience designing effective evaluation metrics for NLP systems.
Strong communication and collaboration skills.
A self-starting, problem-solving approach biased towards action and scope minimization.

Preferred Qualifications

You have experience implementing ML systems in regulated industries.
You have experience optimizing model performance and resource utilization in data-intensive environments.
You have a strong background in legal text analysis or have worked with legal domain experts.
You have experience with few-shot learning and prompt engineering techniques.
You are interested in language, law, finance, or economics.
You thrive in a high-leverage, fast-paced environment.

Compensation
The reasonably estimated yearly salary for this role is $187,000-$270,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

Benefits
We offer numerous employee benefits, including:

Medical, dental, and vision insurance with 100% employer-paid premiums for employees and 65% for dependents
Hybrid in-office schedule
Amazing office location next to Bryant Park/Grand Central
401(k) retirement plan
Wellhub (Gympass) fitness membership
Unlimited PTO
Unlimited sick days
Company offsites
Commuter benefits

Equal Opportunity Employment
We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at [email protected]. We hope you can join us.

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