364 Ofertas de Aprendizaje Automático en Chile

FEMSA Salud SpA, empresa líder en el sector farmacéutico y que opera en 4 países de Latinoamérica (Chile, Colombia, Ecuador y México) busca incorporar a su equipo de Advanced Analytics un(a) Machine Learning Engineer apasionado(a) y dinámico(a) para liderar el desarrollo y la implementación de soluciones de inteligencia artificial que transformen y optimicen nuestros procesos empresariales.

Algunas funciones asociadas al cargo:

• Diseñar, construir y desplegar modelos de IA innovadores, desde la estadística tradicional hasta técnicas de vanguardia en Deep Learning y Modelos Generativos.
• Desarrollar y mantener un ecosistema MLOps robusto, asegurando la integración y la entrega continuas de nuestras soluciones de IA.
• Colaborar en la creación de productos de datos que impulsen la toma de decisiones basada en datos y mejoren los servicios al(la) cliente(a).
• Trabajar con autonomía en proyectos desafiantes, manteniendo una actitud proactiva frente a los problemas y oportunidades.
• Adaptarte rápidamente a las nuevas tecnologías y metodologías para mantener a nuestra compañía a la vanguardia del sector.

Haremos match si cuentas con:

1. +2 Años de experiencia como ML Engineer o cargos afines.
2. Nivel de Python Avanzado.
3. Experiencia demostrable con modelos de ML implementados en Sklearn, Pytorch, Tensorflow, Keras, etc.
4. Experiencia con Docker.
5. Experiencia con RESTful APIs (FastAPI, Flask, Tornado, etc).
6. Conocimiento de MLOps y experiencia en la puesta a producción de modelos de IA.
7. Experiencia trabajando en Cloud (GCP, AWS, Azure).
8. Sólidos conocimientos en Probabilidad y Estadística.

En FEMSA Salud contamos con muchísimos beneficios e iniciativas para ti:

• Serás parte de la empresa líder en la industria, incorporándote a un ambiente colaborativo de inclusión y diversidad.
• Modalidad 100% remoto
• Horarios flexibles de entrada y salida.
• Seguro complementario de salud y programa de bienestar.
• Convenio con Caja Los Andes y descuento en compras en Cruz Verde.

Buscamos fomentar tu desarrollo y explotar todo tu potencial

Cargo abierto a Inclusión Laboral Ley 21.015, si necesitas algún ajuste para la entrevista laboral, favor avísanos.

Especialista en Vertex AI para proyectos de Inteligencia Artificial en la industria financiera

En
SII Group Chile
, estamos profundizando nuestra estrategia de inteligencia artificial con foco en
Vertex AI
, la plataforma de Google Cloud que nos permite escalar modelos de machine learning y explorar el potencial de la IA generativa.

Si tienes experiencia en Vertex AI y quieres aplicar tu conocimiento en proyectos de alto impacto social y tecnológico dentro del sector financiero/previsional, esta oportunidad es para ti.

Responsabilidades:

• Diseñar, entrenar y desplegar modelos de machine learning utilizando
  Vertex AI
  .
• Implementar flujos de trabajo de MLOps para automatizar pipelines de entrenamiento, evaluación y despliegue.
• Administrar datasets, experimentar con modelos y realizar tuning de hiperparámetros en Vertex AI.
• Colaborar con equipos de TI y negocio para traducir desafíos operativos en soluciones basadas en IA.
• Evaluar el rendimiento de modelos en producción y proponer mejoras continuas.

Requisitos:

• Experiencia comprobable en
  Vertex AI
  y
  Google Cloud Platform
  .
• Conocimiento en frameworks de ML como
  TensorFlow
  ,
  PyTorch
  o similares.
• Familiaridad con prácticas de MLOps y herramientas como
  Kubeflow
  ,
  Cloud Functions
  ,
  BigQuery
  , etc.
• Capacidad para trabajar en entornos colaborativos dentro del sector financiero o de servicios.

Se valorará:

• Experiencia en Google Cloud y AWS
• Experiencia en proyectos de IA aplicada a procesos internos, atención al cliente o análisis predictivo.
• Conocimiento de IA generativa y su integración en flujos de trabajo empresariales.

Acerca de SII Group

SII Group Chile es parte del Grupo SII, que opera desde hace más de 40 años en los dominios de TI e Ingeniería. El Grupo se enorgullece de emplear a más de profesionales en todo el mundo y es uno de los principales proveedores de servicios de TI e ingeniería. Llevamos a cabo varios proyectos para empresas líderes a nivel mundial en múltiples industrias como Banca y Finanzas, Manufactura y Retail, Automoción y Transporte, Aeroespacial y Defensa, Telecomunicaciones, Servicios Públicos y Ciencias de la Vida.

A pesar de nuestro crecimiento expansivo, seguimos creyendo que las personas son nuestro activo más importante y este es el núcleo de nuestro concepto #Fungineer que hoy se extiende a nuestro concepto #Greengineer.

La misión de SII es acompañar a sus clientes en su viaje digital; creemos que podemos lograrlo gracias a nuestros profesionales de Ingeniería.

El Grupo SII fue elegido Great Place To Work 2022 en 14 países, y por segunda vez en Chile como uno de los Best Place to Work, pasando del #16 en 2021 al #11 en 2022.

"Está vacante está disponible para personas con discapacidad de acuerdo a la Ley 21.015, por lo que, si presentas una discapacidad y estás interesado/a en la posición, te agradeceremos nos indiques las adecuaciones necesarias para que tu proceso de entrevista sea óptimo".

En SII Group Chile

Tu tiempo nos importa: días administrativos libres.

Queremos que te desarrolles: Programas de capacitaciones a tu medida.

Ser #fungineer es fun: FunFridays y eventos varios

Axity, Somos una compañía con más de 35 años de trayectoria. Nuestro portafolio de servicios es uno de los más grandes en la industria: Estrategia Digital, Desarrollo de Software, Business Intelligence, Big Data, Analítica Avanzada, Seguridad, IoT.

Oferta Laboral: Senior Machine Learning Engineer

Cliente del rubro bancario requiere contratar un Senior Machine Learning Engineer con sólida experiencia en ciencia de datos, modelado predictivo y arquitectura moderna en la nube. El profesional será responsable de diseñar, desarrollar y productivizar soluciones analíticas avanzadas para contribuir a la toma de decisiones estratégicas dentro del negocio.

Responsabilidades principales:

• Desarrollo de modelos de Machine Learning para resolver problemáticas del negocio.
• Implementación de soluciones analíticas en entornos productivos y escalables.
• Diseño y colaboración en arquitecturas de datos modernas en la nube.
• Colaboración con equipos multidisciplinarios para el desarrollo de productos de datos.
• Participación en procesos avanzados como RAG y prompt engineering.

Requisitos:

• Título profesional en Ingeniería Informática o carrera afín.
• Al menos 3 años de experiencia en los ámbitos de analytics, data science, machine learning y/o productos de datos.
• Manejo de lenguajes como Python, R o Java, orientados a procesos de datos o analítica.
• Conocimientos avanzados de SQL, Spark u otras tecnologías/lenguajes de procesamiento de datos.
• Deseable experiencia en RAG y prompt engineering.
• Familiaridad con herramientas y servicios del ecosistema cloud para arquitectura de datos moderna.
• Experiencia en productivización de activos analíticos.

Interesados que cumplan con el perfil pueden postular para ser parte de un equipo enfocado en la excelencia operativa y tecnológica.

En Axity fomentamos un entorno inclusivo donde las diferencias son celebradas y donde todos/as tienen la oportunidad de crecer y destacar. Nuestro compromiso es claro: "crear un espacio laboral donde cada talento encuentre el apoyo y respeto necesario para desarrollarse"

What you'll do

• Design, build, and implement complex systems for training and running machine learning models with sound architectural principles.
• Define work for other engineers and mentor them through completion.
• Understand business objectives and implement models to achieve those objectives along with metrics to track their progress.
• Demonstrate effective, respectful, and honest communication when collaborating with colleagues beyond the immediate team, including Product, Customer Success, and Sales/Marketing
• Close collaboration with data scientists in deploying, retraining and maintaining models that the data scientists have built.
• Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
• Manage work through all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
• Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
• Participate in peer design and code reviews.
• Show determination and discipline to drive forward improvements and innovations that add value and move the IT organization forward.
• Design & Build microservices-based data applications in Java and Python, with clear APIs and containerized deployments
• Implement Apache Beam transforms in Java and Python to process terrabytes of data with low latency

What experience you need

• BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
• 5-7 years of related experience
• Proven track record of designing, developing, and deploying complex ML models in real-world applications
• Experience with model performance evaluation and ML model optimization for accuracy, efficiency and scalability
• Cloud Certification Strongly Preferred
• Experience in Python, Python Libraries - NumPy, Pandas, Scikit-learn
• ML Frameworks - Tensorflow, PyTorch, Keras, XGBoost etc
• Handling large scale Big Data (Structured and unstructured): Apache, Apache Beam, Datawarehouse - BQ Analys
• ML Model Development - Supervised, Unsupervised, Reinforcement learning.
• MLOps Deployment - Docker, Kubernetes
• Model Servicng - TensorFLow Serving, TorchServe

Overview

Applications must be submitted in English.

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes analytics, engineering, product management, and design. In this multidisciplinary environment, you’ll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

As a Machine Learning Engineer, you’ll help drive innovation by integrating AI and data-driven solutions into strategy and execution. Whether launching new ventures, reimagining user experiences, or building tech-enabled products, you’ll work at the intersection of analytics and impact—turning bold strategies into breakthrough results.

• Build and deploy machine learning models in production environments
• Design and implement CI/CD pipelines and monitoring tools
• Collaborate closely with cross-functional teams to deliver scalable, real-world solutions
• Participate in agile experimentation and iterative development
• Share knowledge and coach others on best practices and tools
• Contribute to internal R&D and learning initiatives between projects
• Explore and apply state-of-the-art AI research

Must Have:

• 3+ years of relevant experience or an advanced degree
• Strong theoretical and practical experience in machine learning
• Proficiency in Python and good software engineering practices
• Experience with cloud platforms and containerization
• Familiarity with ML lifecycle, from experimentation to deployment
• Ability to expose ML models as services for integration
• Strong communication skills in English and Portuguese or Spanish
• Comfortable with feedback, collaboration, and autonomy

Nice to Have:

• Experience with R&D or academic research
• Familiarity with multiple languages or tools
• Desire to publish technical content and mentor others

At the beginning:

• A warm welcome and full onboarding support
• Initial project with clear scope and team integration
• Assigned buddy and Professional Development (PD) advisor

During your first case:

• Immersive experience working with a real client
• Hands-on delivery and deployment of ML solutions
• Real-time feedback and development discussions
• Time to recharge and reflect
• Opportunities to contribute to R&D and internal knowledge sharing
• Option to write for our engineering blog

During your second case and beyond:

• Exposure to diverse industries and increasing challenge
• Growing technical and leadership responsibilities
• Continued development supported by PD advisor
• Space for pro bono work and passion projects

• 26 weeks of paid parental leave for all parents
• Life and medical insurance
• Supplementary health and dental coverage
• Performance-based annual bonus
• Leave of absence (1–12 months, unpaid)
• Gympass membership
• Note: Benefits may vary based on location and are subject to change.

• Not Applicable

• Full-time

• Business Consulting and Services

Overview

Join to apply for the Senior Machine Learning Engineer role at Thoughtworks

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

• You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
• You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
• You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
• You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
• You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
• You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
• You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
• You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.

• An advanced English level is required.
• You must have a strong experience with LLM and AI.
• You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
• You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
• You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
• You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
• You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
• You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
• You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
• You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

• Not Applicable

• Full-time

• Engineering and Information Technology
• Industries
• Software Development and IT Services and IT Consulting

Referrals increase your chances of interviewing at Thoughtworks by 2x

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Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered invibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

YOUR ROLE

Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.

What You'll Do

• Lead a team of 3-5 ML engineers building personalization systems
• Define technical roadmap aligned with business objectives
• Drive improvements in model quality, system reliability, and development velocity
• Establish best practices for model development and deployment
• Partner with product, data science, and engineering teams
• Contribute hands-on to critical model development (50% coding)

What We're Looking For

• 7+ years in ML engineering, 2+ years leading technical teams
• Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
• Proven ability to mentor engineers and drive technical decisions
• Experience managing stakeholder relationships and project delivery
• BS/MS in Computer Science or equivalent experience

Nice to Have

• Experience in adtech, e-commerce, or content platforms
• Published papers or significant ML contributions
• Experience with multi-objective optimization
• Knowledge of reinforcement learning for personalization

Want to make your impact in a profitable, high-growth company? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Opportunity Overview

At ZeroFox, we are passionate about bringing world-class protection to the digital-first world. Together, we have built a system capable of collecting and analyzing data from all over the internet, creating a paradigm-shifting cybersecurity product that helps secure and protect our customers and improves the global threat landscape.

We are a team of software engineers, cybersecurity experts, and data scientists who continue to develop unparalleled solutions for the cyber security industry by providing the best Digital Risk Protection SaaS in the global market. Our company, services, and user base are growing faster than ever and we’d like you to help us innovate. We believe the greatest solutions in the Digital Risk Protection space come from composing teams with varied backgrounds and experiences that can use their complementary skill sets to come up with the best market-defining solutions.

Along the way, you’ll expand your potential with constant opportunities to learn and grow alongside exceptionally knowledgeable, competent, and collaborative people.

If you want to be part of a group of talented, empathic individuals with a multitude of different backgrounds, who are committed to each other and to the overall success of the team and our customers, we want to hear from you! At ZeroFox, soft skills are just as important as technical ability!

• Collaborate with industry experts across security, machine learning, digital risk protection, and cyber threat intelligence to develop cutting-edge machine learning solutions for the ZeroFox platform.
• Help define machine learning roadmaps and projects for your team, with a pragmatic balance of higher risk and lower risk efforts.
• Design, develop, and deploy advanced machine learning models and systems for natural language processing and computer vision applications, to enhance the lives of our customers while making the internet a safer place.
• Evaluate and improve the accuracy, efficiency, and scalability of existing ML models.
• Design and conduct statistically rigorous experiments (hypothesis testing, replication, etc.)
• Conduct research and stay up-to-date with the latest advancements in NLP and computer vision techniques to integrate them into our solutions.
• Collaborate with product managers, data analysts, software engineers and non-technical stakeholders to integrate ML models into the ZeroFox platform.
• Analyze and preprocess large, diverse datasets, ensuring the quality and integrity of the data used for model training and evaluation.
• Maintain clear and well-documented code to ensure long-term sustainability and smooth collaboration with other team members.
• Provide technical guidance and mentorship to junior engineers, and ensure your team’s growth and success.

• Motivated, communicative, teamwork-oriented leader who is comfortable working in agile environments and is able to learn and adapt quickly
• Bachelor’s degree in computer science, math, physics, or a related field, OR equivalent education or experience
• Machine learning experience, typically a minimum of 5 years
• Team and/or project leadership experience, typically a minimum of 2 years
• Proficiency in PyTorch, TensorFlow, or similar machine learning frameworks
• Proficiency in Python
• Strong applied knowledge of statistics and scientific methods
• Solid understanding of data structures and algorithms
• Strong software engineering design and implementation skills involving multiple technology layers (databases, API’s, caching layers, etc.)
• Good communication, collaboration, and presentation skills in English
• Ability to work effectively in a fast-paced, agile environment.

• Strong knowledge of NLP techniques, including but not limited to tokenization, parsing, sentiment analysis, topic modeling, and named entity recognition.
• Strong knowledge of computer vision techniques such as object detection, segmentation, image classification, and OCR.
• Opportunities to learn and contribute your knowledge to our Digital Risk Protection platform
• Competitive compensation
• Competitive PTO
• Complementary health insurance
• Daily catered lunches for in-office work
• Respectful and nourishing work environment, where every opinion is heard and everyone is encouraged to be an active part of the organizational culture.
• Regular team bonding activities like cooking and cocktails classes, bingos, stand up comedy, magic shows, virtual happy hour, lunch and learns, etc.
• Additional Parental Leave
• Excellent communication: between teams, people, organizations and leaders

ZeroFox is on a mission to make the internet safer for all. Innovation is at our core – we are relentless in the pursuit of finding new ways to disrupt external cyber threats on the surface, deep, and dark web. ZeroFox offers the only unified cybersecurity platform combining advanced AI analytics, digital risk and privacy protection, full-spectrum threat intelligence, and a robust portfolio of breach, incident and takedown response capabilities to protect customers from growing threats across the external attack surface. It’s a great time to join us in the Fox Den – with fresh private equity funding, expanding investments in AI, a people-first culture, and centers of excellence around the world, we’re growing like never before. If you’re looking for a mission-oriented, customer-focused, collaborative team and ready to take the fight to the adversary, apply to join us in the Den today.

We aim to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace inclusion and ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military or veteran status, or any other personal characteristic.

Senior Machine Learning Engineer

Opportunity Overview

At ZeroFox, we are passionate about bringing world-class protection to the digital-first world. Together, we have built a system capable of collecting and analyzing data from all over the internet, creating a paradigm-shifting cybersecurity product that helps secure and protect our customers and improves the global threat landscape.

We are a team of software engineers, cybersecurity experts, and data scientists who continue to develop unparalleled solutions for the cyber security industry by providing the best Digital Risk Protection SaaS in the global market. Our company, services, and user base are growing faster than ever and we'd like you to help us innovate. We believe the greatest solutions in the Digital Risk Protection space come from composing teams with varied backgrounds and experiences that can use their complementary skill sets to come up with the best market-defining solutions.

Along the way, you'll expand your potential with constant opportunities to learn and grow alongside exceptionally knowledgeable, competent, and collaborative people. If you want to be part of a group of talented, empathic individuals with a multitude of different backgrounds, who are committed to each other and to the overall success of the team and our customers, we want to hear from you! At ZeroFox, soft skills are just as important as technical ability!

• Collaborate with industry experts across security, machine learning, digital risk protection, and cyber threat intelligence to develop cutting-edge machine learning solutions for the ZeroFox platform
• Help define machine learning roadmaps and projects for your team, with a pragmatic balance of higher risk and lower risk efforts
• Design, develop, and deploy advanced machine learning models and systems for natural language processing and computer vision applications, to enhance the lives of our customers while making the internet a safer place
• Evaluate and improve the accuracy, efficiency, and scalability of existing ML models
• Design and conduct statistically rigorous experiments (hypothesis testing, replication, etc.)
• Conduct research and stay up-to-date with the latest advancements in NLP and computer vision techniques to integrate them into our solutions
• Collaborate with product managers, data analysts, software engineers and non-technical stakeholders to integrate ML models into the ZeroFox platform
• Analyze and preprocess large, diverse datasets, ensuring the quality and integrity of the data used for model training and evaluation
• Maintain clear and well-documented code to ensure long-term sustainability and smooth collaboration with other team members
• Provide technical guidance and mentorship to junior engineers, and ensure your team's growth and success

• Motivated, communicative, teamwork-oriented leader who is comfortable working in agile environments and is able to learn and adapt quickly
• Bachelor's degree in computer science, math, physics, or a related field, OR equivalent education or experience
• Machine learning experience, typically a minimum of 5 years
• Team and/or project leadership experience, typically a minimum of 2 years
• Proficiency in PyTorch, TensorFlow, or similar machine learning frameworks
• Proficiency in Python
• Strong applied knowledge of statistics and scientific methods
• Solid understanding of data structures and algorithms
• Strong software engineering design and implementation skills involving multiple technology layers (databases, API's, caching layers, etc.)
• Good communication, collaboration, and presentation skills in English
• Ability to work effectively in a fast-paced, agile environment

• Strong knowledge of NLP techniques, including but not limited to tokenization, parsing, sentiment analysis, topic modeling, and named entity recognition
• Strong knowledge of computer vision techniques such as object detection, segmentation, image classification, and OCR

• Opportunities to learn and contribute your knowledge to our Digital Risk Protection platform
• Competitive compensation
• Competitive PTO
• Complementary health insurance
• Daily catered lunches for in-office work
• Respectful and nourishing work environment, where every opinion is heard and everyone is encouraged to be an active part of the organizational culture
• Regular team bonding activities like cooking and cocktails classes, bingos, stand up comedy, magic shows, virtual happy hour, lunch and learns, etc
• Additional Parental Leave
• Excellent communication: between teams, people, organizations and leaders

ZeroFox is on a mission to make the internet safer for all. Innovation is at our core - we are relentless in the pursuit of finding new ways to disrupt external cyber threats on the surface, deep, and dark web. ZeroFox offers the only unified cybersecurity platform combining advanced AI analytics, digital risk and privacy protection, full-spectrum threat intelligence, and a robust portfolio of breach, incident and takedown response capabilities to protect customers from growing threats across the external attack surface. It's a great time to join us in the Fox Den - with fresh private equity funding, expanding investments in AI, a people-first culture, and centers of excellence around the world, we're growing like never before. If you're looking for a mission-oriented, customer-focused, collaborative team and ready to take the fight to the adversary, apply to join us in the Den today.

Equal Opportunity

We aim to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace inclusion and ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military or veteran status, or any other personal characteristic.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Referrals increase your chances of interviewing at ZeroFox by 2x

Get notified about new Senior Machine Learning Engineer jobs in Santiago, Santiago Metropolitan Region, Chile .

Las Condes, Santiago Metropolitan Region, Chile 3 weeks ago

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