Noetica Inc. is hiring: Machine Learning Engineer in New York
Noetica Inc., New York, NY, United States
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 featured in Wall Street Journal, Bloomberg, and American Banker, 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 hiring@noetica.ai. We hope you can join us.
#J-18808-Ljbffr
In Summary: 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 . The global capital markets are among the largest markets in the world valued at $50T+ and growing . Your role directly impacts our competitive advantage by enabling advanced features and analysis of complex legal documents .
En Español: Noetica está resolviendo problemas críticos de NLP en el corazón del ecosistema de los mercados de capitales de billones de dólares con una plataforma interna de aprendizaje automático y décadas de experiencia en ML PhD. Fundada en 2022 y con sede en Nueva York, nuestro equipo de alto calibre se dedica a traer innovación y eficiencia a las industrias legales y financieras. Contamos muchos de los principales bufetes de abogados del mundo entre nuestros clientes. Hasta la fecha hemos recaudado ~ $ 30 millones con nuestra última ronda (Serie A) dirigida por Lightspeed. Somos afortunados de haber sido destacados en Wall Street Journal, Bloomberg y American Banker, entre otros, y nombrados una empresa de inteligencia artificial líder 2024 y 2025 por Business Insider, CB Insights, etc. The Opportunity Learning Los mercados globales son uno de los mayores mercados del mundo valorados en un creciente auge de $ 50T +. Las transacciones dentro de estos mercados mecánicos deben basarse en documentos jurídicos complejos, así como extracción de datos que pueden ser elaborados por diferentes partes para obtener información sobre el mercado digital y análisis más amplios. Nuestra plataforma de benchmarking legal requiere sofisticadas implementaciones NLP y LLM para analizar el lenguaje contractual, identificar patrones legales y generar comparaciones significativas en miles de documentos. Su papel impacta directamente en nuestra ventaja competitiva al permitir características más avanzadas y análisis de documentos legales complejos. Esto es lo que va a hacer como ingeniero de aprendizaje automático: construir modelos y tuberías ML con escalabilidad y reproducibilidad como principios fundamentales, no pensamientos posteriores. Desarrollar sistemas NLP que puedan procesar con precisión y entender el lenguaje legal y la terminología complexas. Diseñar e implementar soluciones basadas en LLM bien documentadas, y capacitar a los profesionales jurídicos para extraer conocimientos valiosos. Extender y crear frameworks de evaluación de modelos fiables que aseguran la exactitud y reducir el riesgo de derivación o sesgo del modelo. Simplificar sistemas complicados ML hacia soluciones más manejables que son más fáciles de comprender, mantener y desarrollar. Optimizar el rendimiento mediante técnicas tradicionales inteligentes y eficientes de algoritmo-solución basada en casos reales. Los trabajadores Proch Lever tienen una experiencia profesional en diseño y desarrollo tecnológico especializado en tecnología de software de gestión de datos que se centran en las habilidades de trabajo en un entorno de funcionamiento rápido y de recursos humanos. Beneficios Ofrecemos numerosos beneficios a los empleados, incluidos: seguro médico, dental y de visión con primas pagadas por el empleador al 100% para los trabajadores y 65% para los dependientes Horario híbrido en la oficina Localización sorprendente de una oficina junto a Bryant Park/Grand Central 401k) Plan de jubilación Wellhub (Gympass) membresía física PTO días de enfermedad ilimitado Oficinas de Commuting Equal Opportunity Empleo Somos un empleador de igualdad de oportunidades. Buscamos personas increíbles de diversos orígenes, experiencias, habilidades y perspectivas. Nos cuidamos mutuamente para crear un entorno laboral inclusivo donde podamos venir a trabajar cada día.
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 featured in Wall Street Journal, Bloomberg, and American Banker, 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 hiring@noetica.ai. We hope you can join us.
#J-18808-Ljbffr
In Summary: 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 . The global capital markets are among the largest markets in the world valued at $50T+ and growing . Your role directly impacts our competitive advantage by enabling advanced features and analysis of complex legal documents .
En Español: Noetica está resolviendo problemas críticos de NLP en el corazón del ecosistema de los mercados de capitales de billones de dólares con una plataforma interna de aprendizaje automático y décadas de experiencia en ML PhD. Fundada en 2022 y con sede en Nueva York, nuestro equipo de alto calibre se dedica a traer innovación y eficiencia a las industrias legales y financieras. Contamos muchos de los principales bufetes de abogados del mundo entre nuestros clientes. Hasta la fecha hemos recaudado ~ $ 30 millones con nuestra última ronda (Serie A) dirigida por Lightspeed. Somos afortunados de haber sido destacados en Wall Street Journal, Bloomberg y American Banker, entre otros, y nombrados una empresa de inteligencia artificial líder 2024 y 2025 por Business Insider, CB Insights, etc. The Opportunity Learning Los mercados globales son uno de los mayores mercados del mundo valorados en un creciente auge de $ 50T +. Las transacciones dentro de estos mercados mecánicos deben basarse en documentos jurídicos complejos, así como extracción de datos que pueden ser elaborados por diferentes partes para obtener información sobre el mercado digital y análisis más amplios. Nuestra plataforma de benchmarking legal requiere sofisticadas implementaciones NLP y LLM para analizar el lenguaje contractual, identificar patrones legales y generar comparaciones significativas en miles de documentos. Su papel impacta directamente en nuestra ventaja competitiva al permitir características más avanzadas y análisis de documentos legales complejos. Esto es lo que va a hacer como ingeniero de aprendizaje automático: construir modelos y tuberías ML con escalabilidad y reproducibilidad como principios fundamentales, no pensamientos posteriores. Desarrollar sistemas NLP que puedan procesar con precisión y entender el lenguaje legal y la terminología complexas. Diseñar e implementar soluciones basadas en LLM bien documentadas, y capacitar a los profesionales jurídicos para extraer conocimientos valiosos. Extender y crear frameworks de evaluación de modelos fiables que aseguran la exactitud y reducir el riesgo de derivación o sesgo del modelo. Simplificar sistemas complicados ML hacia soluciones más manejables que son más fáciles de comprender, mantener y desarrollar. Optimizar el rendimiento mediante técnicas tradicionales inteligentes y eficientes de algoritmo-solución basada en casos reales. Los trabajadores Proch Lever tienen una experiencia profesional en diseño y desarrollo tecnológico especializado en tecnología de software de gestión de datos que se centran en las habilidades de trabajo en un entorno de funcionamiento rápido y de recursos humanos. Beneficios Ofrecemos numerosos beneficios a los empleados, incluidos: seguro médico, dental y de visión con primas pagadas por el empleador al 100% para los trabajadores y 65% para los dependientes Horario híbrido en la oficina Localización sorprendente de una oficina junto a Bryant Park/Grand Central 401k) Plan de jubilación Wellhub (Gympass) membresía física PTO días de enfermedad ilimitado Oficinas de Commuting Equal Opportunity Empleo Somos un empleador de igualdad de oportunidades. Buscamos personas increíbles de diversos orígenes, experiencias, habilidades y perspectivas. Nos cuidamos mutuamente para crear un entorno laboral inclusivo donde podamos venir a trabajar cada día.