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Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI — developing and fine-tuning models that detect and redact sensitive information across diverse datasets.

What You’ll Do

Build and ship models. Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.
Own the ML lifecycle. From dataset curation and experiment tracking to model deployment and monitoring — you’ll own the full path from prototype to production.
Collaborate cross-functionally. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.
Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.

What You’ll Bring

3+ years of professional experience in applied ML or data science with a focus on NLP
Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers
Hands-on experience with experiment tracking (e.g., Weights & Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)
Comfort working independently and iterating quickly — you enjoy the mix of research, engineering, and product thinking
Strong communication and collaboration skills

Bonus Points For:

Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)
Familiarity with data privacy, PII redaction, or healthcare data
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity

Why You’ll Love It Here

High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook
Small, collaborative team with deep expertise in NLP and privacy
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services

About Tonic.ai

Tonic.ai empowers developers while protecting customer privacy by enabling companies to create safe, synthetic versions of their data for use in software development, model training, and AI implementation. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data transformation, de-identification, synthesis, and subsetting, in pursuit of its mission to make data usable. Thousands of developers use data generated with Tonic.ai on a daily basis to build their products faster in industries as wide ranging as healthcare, financial services, logistics, edtech, and e-commerce. Working with customers like eBay, Cigna, American Express, and Volvo, Tonic.ai innovates to advance its goal of advocating for the privacy of individuals while enabling companies to do their best work. For more information, visit https://www.tonic.ai or follow /tonicfakedata on LinkedIn.

Benefits we offer

Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Remote-friendly work environment

Benefits we offer

Generous comp plan with uncapped commission/earning potential
Computer of choice and stipend to purchase office equipment, etc

#J-18808-Ljbffr

In Summary: Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products . You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI .

En Español:

Tonic.ai está buscando un Ingeniero de Aprendizaje Automático práctico para ayudar a construir sistemas NLP de grado de producción que impulsen nuestros productos de privacidad de datos y extracción de información. Te unirás a un pequeño equipo experimentado trabajando en la intersección de LLM, privacy de datos e IA aplicada desarrollando y sintonizando modelos que detectan y redactan información sensible en diversos conjuntos de datos.

Lo que harás

Construir y enviar modelos. Afinar y evaluar los modelos basados en transformadores (por ejemplo, RoBERTa, Gemma, LLaMA) para apoyar la redacción de PII, extracción de entidades y generación de datos sintéticos.
Poseer el ciclo de vida del ML. Desde la curaduría de los conjuntos de datos y el seguimiento experimental hasta el despliegue y monitoreo de modelos, tendrás todo el camino desde el prototipo a la producción.
Colaborar de manera interfuncional. Colaborar con Product and Design para dar forma a cómo los modelos ML impulsan las características orientadas al usuario, y trabajar con el equipo de ingeniería más amplio para integrarlos en sistemas escalables.
Experimenta con responsabilidad. Documente sus experimentos, evalúe los resultados rigurosamente y ayude a avanzar en la frontera de inteligencia artificial segura y explicable para la privacidad de datos.

Lo que traerás

3+ años de experiencia profesional en ML aplicada o ciencia de datos con enfoque en PNL
Proficiencia en Python y los marcos de aprendizaje profundo tales como Piorro y Transformadores faciales que se abrazan
Experiencia práctica con el seguimiento de experimentos (por ejemplo, Pesos y Prejuicios), Formación distribuida (por ejemplo, Acelerado), y modelo de servicio (por ejemplo, VLLM)
Comodidad para trabajar de forma independiente e iterar rápidamente disfruta de la mezcla de investigación, ingeniería y pensamiento sobre productos
Fuertes habilidades de comunicación y colaboración

Puntos de bonificación para:

Experiencia en el ajuste del aprendizaje supervisado y reforzado (por ejemplo, TRL)
Familiarización con la privacidad de los datos, redacción de PII o datos sanitarios
Una cartera pública, un blog o contribuciones de código abierto que demuestren su profundidad técnica y curiosidad

Por qué te encantará aquí

Alta autonomía y una propiedad significativa sus modelos se enviarán a la producción, no estarán en un cuaderno
Pequeño equipo colaborativo con una profunda experiencia en PNL y privacidad
Oportunidad para trabajar con datos reales de alto impacto en ámbitos como la salud y los servicios financieros

Sobre Tonic.ai

Tonic.ai empodera a los desarrolladores mientras protege la privacidad del cliente al permitir que las compañías creen versiones seguras y sintéticas de sus datos para su uso en el desarrollo de software, capacitación de modelos e implementación de inteligencia artificial. Fundada en 2018, con oficinas en San Francisco, Atlanta, Nueva York y Londres, la compañía es pionera en herramientas empresariales para la transformación de datos, desidentificación, síntesis y subsetización, en búsqueda de su misión de hacer que los datos sean útiles. Miles de desarrollistas utilizan diariamente los datos generados con Tonica.ai para construir sus productos más rápidamente en industrias como salud, servicios financieros, logística, edición tecnológica y comercio electrónico. Trabajando con clientes como eBay, Cignaton, American Express y Volvo, Tonic .ai avanza su objetivo de abogar por la vida privada de individuos mientras permite realizar su mejor trabajo.

Los beneficios que ofrecemos

Salario y capital competitivos
Tiempo libre pagado ilimitado
Plan 401k con contribución del empleador
Seguro médico, dental y de visión
Política de licencia parental generosa
Ambiente de trabajo a distancia

Los beneficios que ofrecemos

Plan de compensación generoso con una comisión/potencial de ganancia ilimitado
Computador de elección y becas para comprar equipos de oficina, etc.

#J-18808-Ljbffr","shortDescription","

Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and informat...","promoted","title","Machine Learning Engineer (NLP) Job at US Company in San Francisco","duration","","experienceLevel","displayThumbnail","location","locations",[64],"id",["B","3521608843"],"displayHeadline","Work at US Company","category","displayPublishedAt","8 hours ago","displayUrl","/jobs/3521608843-machine-learning-engineer-nlp-job-at-us-company-in-san-francisco","shortTitle","Machine Learning Engineer (NLP) Job at US Company in San Francisc...","shortLocation","San Francisco, CA, United States","searchCompanyPath","/jobs?keyword=US+Company","searchLocationPath","/jobs?location=San+Francisco%2C+CA%2C+United+States","searchTitlePath","/jobs?keyword=Machine+Learning+Engineer+%28NLP%29+Job+at+US+Company+in+San+Francisc...",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},"country","United States","city","San Francisco","formatted","San Francisco, CA, United States, 94199","state","CA","postal_code","94199",["D",1777457794000],"TonicAI","A leading data privacy firm in San Francisco is seeking a hands-on Machine Learning Engineer to develop production-grade NLP systems. The ideal candidate will have over 3 years of experience in applied machine learning, particularly in NLP, and proficiency in Python and PyTorch. This role offers high autonomy and the opportunity to work with impactful data in various domains, including healthcare and finance. Competitive salary and comprehensive benefits are provided.
#J-18808-Ljbffr","A leading data privacy firm in San Francisco is seeking a hands-on Machine Learning Engineer to develop production-grade NLP systems. The ideal can...","NLP Engineer - Production ML for PII Redaction (Remote) Job at TonicAI in San Fr",[87],["B","3521618525"],"Work at TonicAI","/jobs/3521618525-nlp-engineer-production-ml-for-pii-redaction-remote-job-at-tonicai-in-san-fr","NLP Engineer - Production ML for PII Redaction (Remote) Job at To...","/jobs?keyword=TonicAI","/jobs?keyword=NLP+Engineer+-+Production+ML+for+PII+Redaction+%28Remote%29+Job+at+To...",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},["D",1777457794000],"

What You’ll Do

Build and ship models. Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.
Own the ML lifecycle. From dataset curation and experiment tracking to model deployment and monitoring — you’ll own the full path from prototype to production.
Collaborate cross-functionally. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.
Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.

What You’ll Bring

3+ years of professional experience in applied ML or data science with a focus on NLP
Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers
Hands-on experience with experiment tracking (e.g., Weights & Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)
Comfort working independently and iterating quickly — you enjoy the mix of research, engineering, and product thinking
Strong communication and collaboration skills

Bonus Points For:

Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)
Familiarity with data privacy, PII redaction, or healthcare data
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity

Why You’ll Love It Here

High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook
Small, collaborative team with deep expertise in NLP and privacy
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services

About Tonic.ai

Benefits we offer

Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Remote-friendly work environment

Benefits we offer

Generous comp plan with uncapped commission/earning potential
Computer of choice and stipend to purchase office equipment, etc

#J-18808-Ljbffr

En Español:

Tonic.ai está buscando un ingeniero de aprendizaje automático práctico para ayudar a construir sistemas de PNL de grado de producción que impulsen nuestros productos de privacidad de datos y extracción de información. Se unirá a un equipo pequeño y experimentado que trabaja en la intersección de LLM, privacy de datos, y AI aplicada desarrollando y sintonizando modelos que detectan y redactan información sensible en diversos conjuntos de datos.

Lo que harás

Construir y enviar modelos. Afinar y evaluar los modelos basados en transformadores (por ejemplo, RoBERTa, Gemma, LLaMA) para apoyar la redacción de PII, la extracción de entidades y la generación de datos sintéticos.
Poseer el ciclo de vida del ML. Desde la curaduría de conjuntos de datos y el seguimiento de experimentos hasta el despliegue y monitoreo de modelos, tendrás todo el camino desde el prototipo hasta la producción.
Colaborar de manera interfuncional. Colaborar con Product and Design para dar forma a cómo los modelos ML impulsan las características orientadas al usuario, y trabajar con el equipo de ingeniería más amplio para integrarlos en sistemas escalables.
Experimenta con responsabilidad. Documentar sus experimentos, evaluar los resultados rigurosamente, y ayudar a empujar la frontera de inteligencia artificial segura y explicable para la privacidad de datos.

Lo que traerás

3+ años de experiencia profesional en ML aplicada o ciencia de datos con enfoque en PNL
Proficiencia en Python y los marcos de aprendizaje profundo tales como Piorro y Transformadores faciales que abrazan
Experiencia práctica con el seguimiento de experimentos (por ejemplo, Pesos y Prejuicios), Formación distribuida (por ejemplo, Acelerado), y modelo de servicio (por ejemplo, VLLM)
Comodidad para trabajar de forma independiente e iterar rápidamente disfruta de la mezcla de investigación, ingeniería y pensamiento de producto
Fuertes habilidades de comunicación y colaboración

Puntos de bonificación para:

Experiencia en el ajuste del aprendizaje supervisado y reforzado (por ejemplo, TRL)
Familiarización con la privacidad de los datos, la redacción de PII o los datos de atención médica
Una cartera pública, un blog o contribuciones de código abierto que demuestren su profundidad técnica y curiosidad

¿Por qué te encantará aquí?

Alta autonomía y una propiedad significativa sus modelos se enviarán a la producción, no se sentarán en un cuaderno
Un equipo pequeño y colaborativo con una profunda experiencia en PNL y privacidad
Oportunidad de trabajar con datos reales de alto impacto en ámbitos como la salud y los servicios financieros

Sobre Tonic.ai

Tonic.ai empodera a los desarrolladores al tiempo que protege la privacidad de los clientes al permitir a las empresas crear versiones seguras y sintéticas de sus datos para su uso en el desarrollo de software, capacitación de modelos y implementación de IA. Fundada en 2018, con oficinas en San Francisco, Atlanta, Nueva York y Londres, la compañía es pionera en herramientas empresariales para la transformación de datos, desidentificación, síntesis y subsetición, en la búsqueda de su misión de hacer que los datos sean útiles. Miles de desarrollistas utilizan los datos generados con Tonic .ai en una base diaria para construir sus productos más rápidamente en industrias como atención médica, servicios financieros, logística, edición y comercio electrónico. Trabajando con clientes como eBay, Cigna, American Express y Volvo, Tonica.ai avanza su objetivo de abogar por la intimidad de las personas mientras permite hacer su mejor trabajo.

Beneficios que ofrecemos

Salario y capital competitivos
Tiempo libre pagado ilimitado
Plan 401k con contribución del empleador
Seguro médico, dental y de visión
Política de licencia parental generosa
Ambiente de trabajo a distancia

Beneficios que ofrecemos

Plan de compensación generoso con potencial de comisiones y ganancias ilimitados
Computador de elección y becas para comprar equipos de oficina, etc.

#J-18808-Ljbffr","Machine Learning Engineer (NLP) Job at TonicAI in San Francisco",[95],["B","3521608929"],"/jobs/3521608929-machine-learning-engineer-nlp-job-at-tonicai-in-san-francisco","/jobs?keyword=Machine+Learning+Engineer+%28NLP%29+Job+at+TonicAI+in+San+Francisco",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},["D",1777457794000],"Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI — developing and fine-tuning models that detect and redact sensitive information across diverse datasets.
What You’ll Do Build and ship models. Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.
Own the ML lifecycle. From dataset curation and experiment tracking to model deployment and monitoring — you’ll own the full path from prototype to production.
Collaborate cross-functionally. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.
Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.
What You’ll Bring 3+ years of professional experience in applied ML or data science with a focus on NLP
Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers
Hands-on experience with experiment tracking (e.g., Weights & Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)
Comfort working independently and iterating quickly — you enjoy the mix of research, engineering, and product thinking
Strong communication and collaboration skills
Bonus Points For: Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)
Familiarity with data privacy, PII redaction, or healthcare data
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity
Why You’ll Love It Here High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook
Small, collaborative team with deep expertise in NLP and privacy
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services
About Tonic.ai Tonic.ai empowers developers while protecting customer privacy by enabling companies to create safe, synthetic versions of their data for use in software development, model training, and AI implementation. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data transformation, de-identification, synthesis, and subsetting, in pursuit of its mission to make data usable. Thousands of developers use data generated with Tonic.ai on a daily basis to build their products faster in industries as wide ranging as healthcare, financial services, logistics, edtech, and e-commerce. Working with customers like eBay, Cigna, American Express, and Volvo, Tonic.ai innovates to advance its goal of advocating for the privacy of individuals while enabling companies to do their best work. For more information, visit https://www.tonic.ai or follow /tonicfakedata on LinkedIn.
Benefits we offer Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Remote-friendly work environment
Benefits we offer Generous comp plan with uncapped commission/earning potential
Computer of choice and stipend to purchase office equipment, etc

#J-18808-Ljbffr

In Summary: Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products . You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI .

En Español: Tonic.ai está buscando un ingeniero de aprendizaje automático para ayudar a construir sistemas NLP de grado de producción que impulsen nuestros productos de privacidad y extracción de datos. Se unirá a un equipo pequeño y experimentado que trabaja en la intersección de LLM, privacidad de datos y IA aplicada desarrollando y sintonizando modelos que detectan y redactan información sensible a través de diversos conjuntos de datos . Documente sus experimentos, evalúe los resultados rigurosamente y ayude a impulsar la frontera de IA segura y explicable para la privacidad de datos. Lo que usted traerá 3+ años de experiencia profesional en ML aplicado o ciencia de datos con un enfoque en NLP Proficiencia en Python y marcos de aprendizaje profundo como PyTorch y Hugging Face Transformers Experiencia práctica con el seguimiento del experimento (por ejemplo, Pesas & Prejuicios), capacitación distribuida (p.ej., Acelerar) y servicio de modelos (por ej., vLLM) Comodidad trabajando independientemente e iterando rápidamente Disfrutarás de la mezcla de investigación, ingeniería y pensamiento de productos Fuerte comunicación y colaboración Habilidades de confidencialidad: Experiencia con diseño supervisionado y refuerzo TRL Care Familiarización con áreas seguras de protección de la vida privada, PII Database o una cartera de datos pública Oportunidades para desarrollar soluciones técnicas de desarrollo tecnológicas con las compañías de software y alta capacidad de trabajo, ¿Por qué no te darás cuenta de tus propias versiones de TI? Fundada en 2018, con oficinas en San Francisco, Atlanta, Nueva York y Londres, Tonic.ai es pionera en herramientas empresariales para la transformación de datos, desidentificación, síntesis y subsetión, en búsqueda de su misión de hacer que los datos sean utilizables. Miles de desarrolladores utilizan todos los días los datos generados con Tonic .ai para construir sus productos más rápidamente en industrias tan amplias como salud, servicios financieros, logística, tecnología informática y comercio electrónico. Trabajando con clientes como eBay, Cigna, American Express y Volvo, Tonica.ai innova para avanzar en su objetivo de defender la privacidad de las personas mientras permite a las empresas realizar su mejor trabajo. Para obtener más información, visite https://www.tonic.ai o siga / tonesedata oferta en LinkedIn.","Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information...","TonicAI is hiring: Machine Learning Engineer (NLP) in San Francisco",[105],["B","3521608609"],"/jobs/3521608609-tonicai-is-hiring-machine-learning-engineer-nlp-in-san-francisco","TonicAI is hiring: Machine Learning Engineer (NLP) in San Francis...","/jobs?keyword=TonicAI+is+hiring%3A+Machine+Learning+Engineer+%28NLP%29+in+San+Francis...",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},["D",1777457794000],"InterSources","Nlp (Natural Language Processing) Machine Learning Engineer

Duration: 6+ months Location: San Francisco, CA
Responsibilities:
Work on a dataset with millions of customer searches, labeled fashion products, and years of transaction and clickstream data.
Work with client's numerous in-house systems experts for data manipulation, model construction, and deployment.

","Nlp (Natural Language Processing) Machine Learning Engineer

Duration: 6+ months Location: San Francisco, CA
Responsibilities:
Work...","InterSources is hiring: NLP Machine Learning Engineer in San Francisco",[118],["B","3521604999"],"Work at InterSources","/jobs/3521604999-intersources-is-hiring-nlp-machine-learning-engineer-in-san-francisco","InterSources is hiring: NLP Machine Learning Engineer in San Fran...","/jobs?keyword=InterSources","/jobs?keyword=InterSources+is+hiring%3A+NLP+Machine+Learning+Engineer+in+San+Fran...",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},211,"name","Mansueto Ventures","agency","logo","https://production-rails-default.s3.us-east-2.amazonaws.com/public/legacy-logos/109473.JPG","slug","mansueto-ventures-careers","

Mansueto Ventures is home to two of the most iconic and vibrant brands in business publishing: Inc. and Fast Company. Every day, the content, awards, and events produced help entrepreneurs and innovators succeed by providing useful insights, sparking essential conversations, and offering much-needed inspiration.

Inc. is the voice of the American entrepreneur, inspiring and documenting the risk-takers and ultra-driven go-getters who represent the most dynamic force in the American economy.
Fast Company is the world’s leading business media brand, focusing on innovation in technology, leadership, and design to inspire readers to shape the future of business.

","New York, NY","coloredLogo","logoAttachment","thumbnail","thumbnailAttachment","hexCode","#080D0C","headline","Publisher of Inc. and Fast Company, empowering innovators and entrepreneurs.","/companies/mansueto-ventures-careers",["B","3524796291"],["D",1777472170000],"indexedAt","NLP Machine Learning Engineer Job at InterSources in San Francisco","

Nlp (Natural Language Processing) Machine Learning Engineer

Duration: 6+ months Location: San Francisco, CA

Responsibilities:

Work on a dataset with millions of customer searches, labeled fashion products, and years of transaction and clickstream data.
Work with client's numerous in-house systems experts for data manipulation, model construction, and deployment.

","descriptionText","NLP Machine Learning Engineer Job at InterSources in San Francisco InterSources Nlp (Natural Language Processing) Machine Learning Engineer Duration: 6+ months Location: San Francisco, CA Responsibilities: Work on a dataset with millions of customer searches, labeled fashion products, and years of transaction and clickstream data. Work with client's numerous in-house systems experts for data manipulation, model construction, and deployment.","

Nlp (Natural Language Processing) Machine Learning Engineer

Duration: 6+ months Location: San Francisco, CA

Responsibilities: