Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

En nuestro equipo de Data Science, tendrás la oportunidad de trabajar como parte de nuestros product squads, desarrollando funcionalidades que enriquecen nuestro producto y brindan la experiencia de primer nivel por la que somos reconocidos. Trabajarás junto a profesionales brillantes con distintas especialidades: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, entre otros. Prepárate para el trabajo de tu vida: desafíos complejos, altas expectativas, mentes brillantes trabajando juntas, conversaciones significativas y una productividad extraordinaria.

Algunos de los problemas específicos en los que trabajamos en el equipo de Data Science incluyen sistemas de búsqueda y recomendación; mejora de la experiencia del cliente utilizando machine learning (como el enrutamiento automático de tickets); modelos de pricing, liquidez y crédito; y la construcción de una plataforma que nos permita desarrollar y desplegar todas estas soluciones.

Nota: Esta es una posición senior. Esperamos que tengas al menos 3+ años de experiencia aplicando Data Science y creando modelos de machine learning. Si tienes las habilidades pero estás comenzando tu carrera en Data Science, te recomendamos postularte a la posición de Data Scientist.

Responsabilidades

• Arquitectar, desarrollar y desplegar sistemas de machine learning en producción. Los principales casos de uso están relacionados con chatbots y sistemas de búsqueda.

• Diseñar y ejecutar experimentos.

• Analizar una amplia variedad de datos (estructurados y no estructurados, observacionales y experimentales) para mejorar los modelos actuales o crear nuevos.

• Aplicar el método científico para desarrollar aplicaciones impulsadas por LLMs, incluyendo probar diferentes prompts, explorar y comprender las capacidades de los LLMs, evaluar agentes y prompts, analizar guardrails de aplicaciones de IA y construir PoCs para validar la viabilidad de IA generativa en funcionalidades de producto.

• Participar activamente en discusiones y decisiones relacionadas con todo el chapter de Data Science (Guilds, Design Reviews, Demos, etc.).

Lo que buscamos

• Personas que quieran aprender y generar impacto real a través de Data Science.

• Conocimiento experto en conceptos de machine learning: regresión y clasificación, clustering, redes neuronales, selección de features, validación cruzada, curse of dimensionality, bias-variance tradeoff, explicabilidad de modelos, entre otros.

• Buena comprensión de los desafíos de ingeniería para desplegar sistemas de machine learning en producción.

• Dominio de Python.

• Conocimientos o experiencia con Deep Learning.

• Experiencia brindando asesoramiento técnico a otros data scientists (liderazgo técnico).

• Excelentes habilidades de comunicación técnica escrita y verbal. Buscamos a alguien apasionado por Data Science y Machine Learning, dispuesto a compartir su conocimiento con los demás miembros del Data Science Chapter.

• Buen nivel de inglés (oral y escrito) es obligatorio.

Te destacarás si

• Tienes un MSc. (o licenciatura + experiencia sólida) en machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing u otros campos relevantes.

• Tienes experiencia con IA generativa aplicada: agentes de IA, prompt engineering, fine-tuning de LLMs (LoRA, QLoRA, PEFT), LLM routing, monitoreo de LLMs y LLM guardrails.

• Tienes experiencia trabajando en startups de rápido crecimiento.

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-FS4

About the role

A Technical Solutions Engineer collaborates across teams and clients to architect and implement best in class ad-tech, data and automation solutions. This role is for engineers that are true entrepreneurs and take on the role of developer, consultant, and platform specialist. 

SOME OF YOUR DAILY TASKS WILL BE

• Design, perform and validate data collection implementations on sites / apps
• Design and develop data integration applications in Cloud environments
• Coordinate and plan client projects
• Develop internal / external use tools for data validation, exploration and monitoring
• Investigate new tools and practices around data analytics and automation

REQUIREMENTS

• Javascript
• Python
• Good communication skills to work with different teams and clients
• Advanced/Intermediate english

DESIRABLE EXPERIENCE (not exclusive):

• Google Analytics 4
• Google Tag Manager
• Google Cloud (or similar: AWS, Azure)
• SQL
• Rest APIs
• AI / ML / Data science
• Advanced student or graduate of a Computer Science, Engineering or related degree.

#LI-MR1 #LI-Hybrid ID:11428

About the Role

Monks is seeking a visionary AI Specialist to join our specialized team. We manage a complex product account requiring expertise far beyond typical social media marketing. This is a hybrid role demanding both technical proficiency and creative strategy.

You will be the bridge between cutting-edge AI developments and engaging social content. Your focus will be on anticipating the future of LLM’s by exploring the current AI landscape, utilizing APIs and coding knowledge to experiment and prototype. Your work will not only keep our social channels ahead of the curve but will also educate our internal teams and our external audience of AI enthusiasts.

Responsibilities:

Technical Foresight & Landscape Analysis. Actively monitor developments from Gemini, OpenAI, and Anthropic to anticipate upcoming AI features. Maintain deep knowledge of the broader AI landscape to provide strategic insights.

Advanced Content Creation & Prototyping. Create compelling social content for X and Instagram targeted at AI enthusiasts. Design and execute complex prompts and utilize  API’s to prototype internal tools, test new capabilities, and produce unique images, videos, and copy.

Internal Training & Enablement. Serve as the go-to AI expert, bridging the knowledge gap within the organization. Develop and lead training sessions for creative, strategy, and design teams on new and upcoming AI features.

Playbook Development & Documentation. Document internal use cases and build comprehensive playbooks on how to integrate AI tools (including the Google Work Suite) effectively across the company's strategy, creative, and operations departments.

Education & Demystification. Be a key part of our strategy to demystify AI. For external content, break down the prompts and the technical details (including API usage when relevant) in an engaging, easy-to-understand way.

Client-Facing Engagement. You may also be called upon to engage directly with clients, leveraging your AI expertise to collaboratively problem-solve and educate them on efficient prompting techniques, ensuring they can maximize the utility of AI tools.

About You

Technical Proficiency (Required): Proven experience in coding and hands-on proficiency in working with AI/ML APIs. You must be comfortable exploring technical documentation and building or testing tools.

A Master of Prompts & AI Ecosystems: A proven ability to get extraordinary results from generative AI tools. You must be "in the weeds" with current LLM’s.

A Natural Trainer and Explainer: Excellent at translating complex, technical concepts into simple, engaging language. You must have a passion for training others and documenting processes.

Social Savvy (Niche Expertise): Deep understanding of what resonates with the AI enthusiast community on platforms like X, and the ability to advise copywriters on relevant technical trends.

A Creative Problem-Solver: You love a challenge and enjoy figuring out how to use new technology, including APIs, to solve creative problems, build internal tools, and optimize workflows.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

#Li-Hybrid

We are in search of a visionary Senior Creative Technologist AI to join our dynamic and forward-thinking team. This role fuses artistic imagination with the latest AI advancements, crafting distinctive visual content and revolutionizing creative workflows. As part of our global AI transformation team, you'll play a pivotal role in fast-tracking AI production processes for our talented creators worldwide, with a special emphasis on Monks America's Studios. Embrace the opportunity to shape the future of creativity at the intersection of marketing and technology.

As a Senior Creative Technologist AI, you will be a vital force in shaping the future of digital experiences through the power of artificial intelligence. You will collaborate closely with cross-functional teams to ideate, prototype, and implement AI-driven solutions that push the boundaries of technology and creativity. Your expertise in AI, LLM, machine learning, and data-driven design will enable you to turn complex problems into innovative, intelligent applications.

RESPONSIBILITIES / PRIORITIES 

• Innovation & Concept Development: Collaborate with creative and technical teams to ideate and prototype new digital experiences
• Conceptualize, prototype and deliver creative applications of technologies in our digital and experiential projects.
• You’ll help win new projects by developing creative treatments in response to client briefs and RFPs, developing creative solutions that are exciting and in keeping with the project’s goals, timings and budget.
• You’ll visit clients to pitch for projects, participate in workshops, and woo people with your combination of creative thinking and technical know-how.
• Collaboration & Communication: Work closely with designers, developers, and clients to translate creative ideas into functional, beautiful, and technically sound solutions.
• Bridging the gap between our clients, our creatives and our developers by speaking the language of all three.
• Technical Expertise: Serve as the bridge between creative concepts and technical execution, providing insights on the feasibility and best technological approaches.
• Problem Solving: Approach challenges with a solution-oriented mindset, finding creative ways to overcome technical and creative hurdles.
• The role involves a lot of tinkering, tweaking and testing; doing original R&D and playing around with new technologies and APIs, and creating original prototypes that work as a proof of concept.
• By figuring out the required technology and technical requirements, you usher creative projects to the development stage, liaising between creative and technical teams to make sure new projects work as advertised.
• Thought leader: Lead creative on artificial intelligence in film, photo, animation, post production and other studio related projects
• On another level, you help to think and plan for the future, feeling the pulse of the AI field to figure out what platforms and technologies we should invest in to stay on top of the game

RESPONSIBILITIES / DEEP DIVE

New business development

• Support ongoing client pitches; pitches often enable various levels of R&D against actual client challenges which, these pitches help us define the in market need, challenges, into buyable & winning proposals that are pushing our craft towards transformation on every level of the creative execution flow. 
• Pitch teams will have various discipline leads collaborating on workflow and R&D so that we represent the best of NOW. 

Research & Development

• Prototyping & Experimentation: Rapidly prototype new ideas using a variety of tools and technologies, validating concepts through experimentation and iterative design.
• Emerging Technology Exploration: Stay ahead of the curve by exploring and experimenting with new technologies, platforms, and trends, and bring these insights to the team to inspire future projects.
• This role will push the creative craft and is responsible for creating and development of R&D projects that showcase high creative craft through AI enabled workflows. 
• A good amount of Client R&D as well as Proactive RD will be part of the role; to manage an area of playing, testing, discovering, to see where we can create meaningful transformation in craft. 
• This role collaborates with a wider studio transformation team to be enabled across various disciplines to be able to work fast with quick results. 
• Code & Development: Write clean, efficient code as needed, contributing to the development of interactive features and dynamic web applications.

Pipeline Transformation – Monks.Flow Integration

• Leads and supports discipline workflow transformation. We are set to transform every piece of production and are looking for artists that help support this transformation to ensure workflows are updated, tested and proven to be able to deliver on craft. 
• Once landed on the updated workflows this role will support automation teams to ensure areas of process that can be transformed are transformed/integrated correctly into the existing Monks AI related workflows &  toolstacks 
• Optimization of workflows: this role will ensure that net new tools that impact the discipline will get reviewed and tested proactively; as well as optimization updates are pushed for on the pipeline so that our workflows are always up to date in this fast moving landscape

Social Ambassador

• Is comfortable representing our craft voice in our social media channels 
• Leads net new R&D and has a weekly posting cadence into the new and unknown and forming vision and opinion on where the discipline is heading. 
• Reviewing new tool stacks and features as part of the ongoing jobs and workflows 

Creative Craft Excellence

• A leader in craft and excellence pushing the boundaries of making on a day to day, project to project. Ensuring that we activate creative workflows that are new and pushing transformation of craft into the “never been done before area” 
• Has a proven track record in winning award per discipline 
• Leads education internal and external; develops BTS and Educational case studies that allow us to share out with the larger organization to be able to bring awareness to the craft transformation this team is going through. 

We are looking for someone who is innovative and likes working in a fast-paced environment, both independently and as part of a multi-disciplined team. You will be working alongside data scientists, analysts, engineers, developers and product managers to deliver data-driven insights and build cutting-edge Artificial Intelligence solutions.

Our team focuses heavily on leveraging modern Generative AI to solve complex business problems in the AdTech space. You will be instrumental in building autonomous Agentic workflows, architecting enterprise-scale RAG/GraphRAG systems, and developing end-to-end Generative AI applications that drive real-world impact. Expect to work on multiple projects across a number of clients, from briefing through delivery.

 The Impact You'll Make:

• Collaborate in high-impact projects from beginning to end, working with autonomy and accountability.
• Proactively engage in problem-solving, fault-finding, and addressing issues in the data or approaches as they arise.
• Read research papers and develop/build concepts/ideas into Prototypes or Proof of Concepts (POC).
• Design, build, and orchestrate complex AI workflows using Agentic frameworks like LangGraph.
• Develop advanced knowledge retrieval pipelines, including building, evaluating, and optimizing GraphRAG and semantic search systems.
• Experiment with advanced prompt/context engineering techniques and fine-tune open-source Large Language Models (LLMs) using parameter-efficient techniques (e.g., LoRA, QLoRA) for domain-specific tasks.
• Implement robust evaluation frameworks (e.g., LLM-as-a-judge, RAGAS, DeepEval) to monitor and ensure the quality, safety, and relevance of Generative AI outputs.
• Communication (visual, verbal, and written) of findings to a variety of audiences, including colleagues and clients, both technical and non-technical.

What You'll Bring to Us:

• Degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field or 2-4 years of work experience related to the field
• Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications.
• Working knowledge of data structures, databases, and ETL processes.
• Applied Machine Learning and Deep Learning experience.
• Hands-on experience with production ML deployments, including containerization, cloud computing environments, modern data warehousing, workflow orchestration, and infrastructure-as-code.
• Generative AI experience with an understanding of Agentic Workflows, including practical experience orchestrating stateful, multi-agent applications with LangGraph.
• Hands-on experience with leading LLM APIs (OpenAI, Anthropic, Gemini) and the Hugging Face ecosystem.
• Basic understanding of AI model optimization and deployment concepts (e.g., model quantization, vLLM, etc) is a strong plus.
• Knowledge of working with Coding Assistants to orchestrate several agents.

What We'll Offer You:

• • Unlimited Vacations
  • Monthly Inflation updates
  • Lunch Credit
  • OSDE 410 as medical assurance 
  • English lessons
  • Gym coverage
  • Internet coverage
  • 1 extra paid month for primary & secondary birthing caregivers
  • Learning & Development - Tools and Training 
  • Hybrid & flexible working model - nice offices in CABA with endless snacks & beverages
  • Pet friendly
  • High visibility roles with a tremendous amount of growth potential 
  • Global team and cross-company collaboration unlike anywhere else!

Role Overview

The Security Technical Program Manager (TPM) will be responsible for the definition, execution, and oversight of critical security programs focused on client assurance, operational compliance, and platform security. This role requires a strong focus on program management and cross-functional coordination to embed security and legal standardization across client projects and manage ongoing compliance activities. The ideal candidate will drive the standardization of legal verbiage and security practices across the organization's client-facing work, ensuring predictable execution, reduced risk, and consistent security standards for client codebases. This role partners closely with Security, Engineering, Legal, Compliance, and Client teams.

Key Responsibilities

Portfolio & Program Management

• Own the portfolio view of Tech Platforms within the broader security strategy.
• Structure and manage strategic programs required to deliver roadmap objectives
• Define milestones, delivery plans, and success metrics for major initiatives.
• Track progress against portfolio commitments and escalate risks proactively.
• Manage cross-functional dependencies across Engineering, Product Management, Legal, and other stakeholders.
• Support quarterly and annual planning cycles, including investment
• Ensure predictable execution through structured governance and reporting cadence.

Cross-Functional Collaboration

• Collaborate with Engineering, Product Management, Legal, Risk, and Compliance stakeholders.
• Facilitate stakeholder alignment, trade-off decisions (e.g., security vs. speed), and expectation management.
• Influence without direct authority to drive secure design principles and manage cross-functional projects to ensure delivery.

Client Project Standardization:

• Lead the strategic initiative to standardize legal verbiage and security requirements across client projects.
• Client Code Security: Drive implementation of consistent security standardization to secure client codes and ensure ongoing maintenance and protection of the codebase.
• Own the coordination of security deployment approvals for client projects with clients, engineering and security teams

Operational Security & Compliance

• Coordinate PCI compliance efforts by creating required reports and managing activities for all PCI accounts.Manage the coordination of the yearly PCI/ISO Audit for all accounts within the Tech Platform.Conduct quarterly User Access Reviews (UAR) to certify user access for AWSGenerate and report artifacts for 1LOD, 2LOD, 3LOD for corrective action plan and risk reduction plans

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, or related discipline.
• 5+ years of experience in technical program management, cybersecurity, or risk management
• Demonstrated experience in Product Security (AppSec), DevSecOps, or AI/ML Security domains.
• Demonstrated experience building and managing strategic roadmaps tied to measurable outcomes.
• Strong understanding of security compliance frameworks (e.g., PCI, ISO) and operational security domains (e.g., User Access Reviews, AWS security roles, Secure SDLC/SAST)
• Strong understanding of secure development practices, vulnerability management, and common software security frameworks.
• Proven ability to partner with engineering and legal teams to drive standardization and manage security due diligence.
• Excellent written and verbal communication skills, with demonstrated experience facilitating stakeholder alignment and influencing without direct authority
• Experience working in matrixed organizations and managing dependencies across multiple business units.

Role Overview

The Security Technical Program Manager (TPM) will be responsible for the definition, execution, and oversight of critical security programs focused on client assurance, operational compliance, and platform security. This role requires a strong focus on program management and cross-functional coordination to embed security and legal standardization across client projects and manage ongoing compliance activities. The ideal candidate will drive the standardization of legal verbiage and security practices across the organization's client-facing work, ensuring predictable execution, reduced risk, and consistent security standards for client codebases. This role partners closely with Security, Engineering, Legal, Compliance, and Client teams.

Key Responsibilities

Portfolio & Program Management

• Own the portfolio view of Tech Platforms within the broader security strategy.
• Structure and manage strategic programs required to deliver roadmap objectives
• Define milestones, delivery plans, and success metrics for major initiatives.
• Track progress against portfolio commitments and escalate risks proactively.
• Manage cross-functional dependencies across Engineering, Product Management, Legal, and other stakeholders.
• Support quarterly and annual planning cycles, including investment
• Ensure predictable execution through structured governance and reporting cadence.

Cross-Functional Collaboration

• Collaborate with Engineering, Product Management, Legal, Risk, and Compliance stakeholders.
• Facilitate stakeholder alignment, trade-off decisions (e.g., security vs. speed), and expectation management.
• Influence without direct authority to drive secure design principles and manage cross-functional projects to ensure delivery.

Client Project Standardization:

• Lead the strategic initiative to standardize legal verbiage and security requirements across client projects.
• Client Code Security: Drive implementation of consistent security standardization to secure client codes and ensure ongoing maintenance and protection of the codebase.
• Own the coordination of security deployment approvals for client projects with clients, engineering and security teams

Operational Security & Compliance

• Coordinate PCI compliance efforts by creating required reports and managing activities for all PCI accounts.Manage the coordination of the yearly PCI/ISO Audit for all accounts within the Tech Platform.Conduct quarterly User Access Reviews (UAR) to certify user access for AWSGenerate and report artifacts for 1LOD, 2LOD, 3LOD for corrective action plan and risk reduction plans

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, or related discipline.
• 5+ years of experience in technical program management, cybersecurity, or risk management
• Demonstrated experience in Product Security (AppSec), DevSecOps, or AI/ML Security domains.
• Demonstrated experience building and managing strategic roadmaps tied to measurable outcomes.
• Strong understanding of security compliance frameworks (e.g., PCI, ISO) and operational security domains (e.g., User Access Reviews, AWS security roles, Secure SDLC/SAST)
• Strong understanding of secure development practices, vulnerability management, and common software security frameworks.
• Proven ability to partner with engineering and legal teams to drive standardization and manage security due diligence.
• Excellent written and verbal communication skills, with demonstrated experience facilitating stakeholder alignment and influencing without direct authority
• Experience working in matrixed organizations and managing dependencies across multiple business units.

Your role
Dialpad’s AI Engineering organization is responsible for building and maintaining customer-facing AI features at scale across all of our cloud-native products and services. Every day, millions of users worldwide leverage our technology to communicate effectively and efficiently.

Dialpad's Agentic Runtime team owns the infrastructure and execution engine that runs AI agents at scale across Dialpad's core product modalities — including voice, messaging, video, and digital engagement. From multi-step task orchestration and tool execution to real-time context management and agent memory, our team builds the foundational platform that powers Dialpad's next-generation intelligent, autonomous experiences. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, QA Specialists, and Engineers specializing in Distributed Systems, ML Infrastructure, and Platform Engineering.

This position reports to the Engineering Manager, who is based in Kitchener, CA, and has the opportunity to be based in our Buenos Aires, Argentina office.

What you’ll do

• Contribute to the design, development, and maintenance of agentic runtime systems, including agent orchestration, tool execution pipelines, and multi-step reasoning loops.
• Build and optimize core runtime components, including task planners, action dispatchers, memory managers, and context window management systems.
• Work on agent coordination techniques, including dynamic tool selection, parallel agent execution, state management, and result aggregation across multi-agent workflows.
• Maintain and enhance highly scalable agentic platforms with a focus on low-latency execution, cost efficiency, and deterministic behavior.
• Ensure high availability, reliability, and fault tolerance in agent runtime services, including graceful degradation when LLM or tool calls fail.
• Collaborate with cross-functional teams — including ML researchers, product, and platform engineers — to translate agentic product requirements into robust runtime infrastructure.
• Develop and optimize real-time distributed systems, microservices, and event-driven architectures powering agentic task execution.
• Design and implement sandboxed execution environments for safe agent use of tools, code execution, and external API calls.
• Implement and maintain monitoring, alerting, and performance metrics covering agent run success rates, token consumption, latency, and cost attribution.
• Evaluate and integrate emerging agentic frameworks, LLM APIs, and tooling ecosystems to continuously improve platform capabilities.
• Write clean, modular, and well-tested code while following best engineering practices in a rapidly evolving problem space.
• Participate in code reviews to ensure the quality, maintainability, and scalability of runtime components.
• Provide mentorship and technical guidance to junior engineers navigating the unique challenges of agentic systems.

Skills you’ll bring

• 3–6 years of experience in distributed systems, platform engineering, or ML infrastructure, with exposure to LLM-based or agentic systems strongly preferred.
• Strong understanding of agent architectures, including ReAct, plan-and-execute, and multi-agent coordination patterns.
• Deep knowledge of context management, prompt lifecycle, tool-call protocols (e.g., function calling, MCP), and agent memory strategies (short-term, episodic, and long-term).
• Experience integrating and managing external tool ecosystems, including web search, code interpreters, databases, and third-party APIs.
• Familiarity with retrieval-augmented generation (RAG) and how retrieval fits into broader agentic pipelines.
• Understanding of LLM output reliability challenges — hallucination, non-determinism, and retry/fallback strategies at runtime.
• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).
• Strong understanding of distributed systems, microservices, and event-driven architectures suited to long-running agent tasks.
• Passion for real-time performance optimization, including streaming responses, async execution, and parallel tool invocation.
• Experience with API design using OpenAPI, Swagger, or equivalent, with an eye toward agentic interaction patterns.
• Knowledge of gRPC or equivalent RPC protocols for inter-service communication within agent runtimes.
• Experience with Docker and Kubernetes, including managing long-running or stateful agent workloads in containerized environments.
• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional), including managed services relevant to agentic workloads such as queuing, secrets management, and compute autoscaling.
• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.
• Knowledge of CI/CD frameworks and continuous delivery practices, with comfort shipping infrastructure in a fast-moving research-adjacent environment.

Innovation is a core value of INFUSE. We are bringing together people, who can look into the future to better understand how technology will shape businesses, people, who create and navigate projects with great potential impact.

INFUSE is looking for a Creatives Delivery Associate  to join us in making high-quality products. This position presents an exciting opportunity to work on one of our projects in the American market. Our clients are large international companies, including Microsoft, Google, Lenovo, HP, Oracle, IBM, Cisco, Intel, Samsung, Panasonic, VMware, and Red Hat. The company has over 1100 employees in the USA, Ukraine, Great Britain, and more. Join our growing team at INFUSE.

We are looking for a specialist to oversee the collaboration between our web design and copywriting teams, ensuring a seamless workflow and interaction with our Client Success and Campaign manager departments. In addition to working with Google Docs to plan and manage tasks, you will be responsible for coordinating all interactions between teams and maintaining accurate task tables.

The responsibilities of this role include:

• Distribution of tasks between web design and copywriting teams, ensuring interaction between Client Success, Campaign manager departments;
• Participation in rallies;
• Working with Google Docs - planning tasks and requests, control over task due dates;
• Coordination of all interaction processes between the teams;
• Maintaining and keeping up-to-date information in task tables (cleaning and checking data accuracy).

Requirements:

• Upper-Intermediate + level of English;
• Confident PC user, good Excel skills, Google Drive/Sheets skills are desirable;
• Multitasking and initiative.

We offer:

• Competitive compensation, taking into account the experience and skills of the candidate.
• Form of payment - monthly, without delay, based on Invoice - Payoneer.
• Remote work format, contract, work schedule: 5/2 (8-hour working day)  3:30 PM - 12:00 AM EEST (Mon-Fri)
• Work-life balance, with paid annual leave and sick days.
• Professional development and career growth opportunities.

Our recruitment process:

• Test task
• Interview with Recruiter
• Final interview with the Hiring Manager

If you are willing and able to learn, attentive, proactive and responsible, involved and communicative, we will be happy to see you in the team!

Forward Deployed Engineer

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the DevRev platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the DevRev platform. 

Job Description

As an Applied AI engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python etc. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. 

Objectives of this role will include:

• Design, develop and implement integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
• Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
• Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
• Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
• Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Ideal Candidate Qualifications:

• Software engineering degree or equivalent educational or professional experience.
• Hands-on coding experience using TypeScript/JavaScript, Python, APIs, Webhooks, and SQL.
• Familiarity with Generative AI technologies including models like GPT-4, prompt engineering and fine-tuning.
• Knowledge of vector databases and data embeddings.
• Outstanding communication (written and verbal in English).
• Result-oriented work style, ability to get things done and a learning mindset.
• An endless passion for challenging work that requires high energy, full engagement and a self-founded need for high performance.

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Staff Data Platform Architect to help design and evolve the modern data platform that powers analytics, product decision-making, experimentation, and AI/ML across GoFundMe.

This is a highly impactful role focused on modernizing our existing data ecosystem into a scalable, cloud-native foundation for real-time insights, experimentation, trust and safety, and AI-driven experiences. You’ll partner closely with engineering, product, analytics, and data science to build systems that are reliable, efficient, and built for long-term growth.

AI is increasingly embedded in how we build, prioritize, and ship across Product and Technology, and this role will help create the data foundation that enables those capabilities to scale responsibly, reliably, and effectively.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Modernize and evolve our existing data ecosystem into a scalable, secure, and high-performing cloud-native platform.
• Own end-to-end data platform architecture across ingestion, transformation, modeling, storage, and consumption.
• Design systems that support analytics, real-time reporting, experimentation, trust and safety, and AI/ML use cases.
• Define enterprise-wide standards for data modeling, semantic layers, and trusted datasets used across the business.
• Build practical frameworks for data lineage, quality, privacy, and security, including support for GDPR, CCPA, and other compliance needs.
• Drive reliability, observability, and cost efficiency across the platform to support growth at scale.
• Guide technology decisions across data engineering, analytics, and AI use cases, including evaluation of modern tools and architectural patterns.
• Partner cross-functionally with engineering, product, analytics, and data science teams to translate business needs into scalable technical solutions.
• Stay hands-on in architecture and design decisions, helping solve complex platform problems when needed.
• Mentor engineers and raise the technical bar across the data organization by coaching on best practices and influencing strategic platform decisions.

You

• 10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ years in a senior, staff, or architect-level role.
• Proven experience building and evolving data platforms end-to-end, including architecture, data models, and platform standards — not just individual pipelines.
• Hands-on experience with modern cloud-native data platforms such as Snowflake, Databricks, or similar technologies.
• Strong understanding of data modeling, semantic layers, and building trusted datasets for analytics and product use cases.
• Experience designing both batch and real-time data systems, including streaming or event-driven architectures.
• Leverage AI tools such as Claude and agentic workflows to accelerate architectural design, technical documentation, and platform delivery.
• Experience implementing data governance in practice, including lineage, data quality, access controls, and privacy/compliance frameworks.
• Strong communicator who can explain architecture decisions clearly to engineers, product managers, and leadership.
• Demonstrated ability to communicate complex technical concepts clearly and drive alignment across diverse stakeholders.
• Experience influencing technical direction across teams and aligning stakeholders such as AI Platform and other engineers around shared platform decisions.
• Comfort operating in a hands-on technical leadership role, balancing strategy with execution.
• Familiarity with AI-assisted development practices, using tools like Claude or agentic frameworks to accelerate design, documentation, and code review.

Preferred

• Experience at a high-growth consumer tech company, marketplace, fintech, or SaaS platform.
• Experience supporting experimentation, trust and safety, fraud, or ML/AI-driven systems.
• Familiarity with dbt, Looker, or similar semantic modeling and analytics tools.
• Experience with lakehouse technologies such as Delta Lake or Iceberg.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

WHY DEPT®?

We are pioneers at heart. What this means, is that we are always leaning forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

Our culture is big enough to cope and small enough to care. Meaning, that with people across 20+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients’ problems, no matter where you are in the world. 

We seek a Principal QA Automation Engineer with a strong background in Cypress, JavaScript/TypeScript, and proven experience working in AI-driven applications within an AWS cloud environment. This is a hands-on leadership role for someone who thrives at the intersection of quality engineering, automation strategy, and modern AI integration. As a senior technical leader, you will own the design, development, and maintenance of a robust test automation framework, ensure seamless integration with CI/CD pipelines, and bring forward-thinking approaches to testing intelligent, adaptive systems.

KEY RESPONSIBILITIES

• Lead the design and implementation of end-to-end test automation frameworks using Cypress with TypeScript.
• Define quality strategies for applications with AI/ML components, including deterministic and non-deterministic testing approaches.
• Collaborate with engineering, DevOps, and AI/ML teams to ensure quality across AI-infused features in production environments.
• Build and scale testing strategies for threaded AI applications running in AWS cloud infrastructure.
• Integrate automated tests into CI/CD pipelines to support frequent, reliable deployments.
• Mentor and guide mid- and senior-level QA engineers, setting best practices and driving a culture of quality-first development.
• Evaluate and introduce new tools, libraries, and frameworks to improve test coverage, performance, and developer experience.
• Participate in architectural discussions to ensure testability and reliability are baked into software designs from the start.
• Analyze test results, track quality metrics, and communicate risk and coverage to stakeholders.

QUALIFICATIONS

• 4+ years of hands-on experience with Cypress for UI and end-to-end automation testing.
• Expert-level proficiency in TypeScript, JavaScript and Python
• Proven experience testing AI-powered or machine learning applications, including AI model validation techniques.
• Strong understanding of AWS services (e.g., Lambda, S3, SQS, CloudWatch, ECS/EKS) and how to validate applications deployed in cloud environments.
• Experience with threaded/multi-agent AI tools and how they impact test design and validation.
• Familiarity with version control (Git), containerization (Docker), and CI/CD pipelines (e.g., GitHub Actions, Jenkins, or CircleCI).
• Strong communication, leadership, and mentoring skills.

PREFERRED QUALIFICATIONS

• Knowledge of AI model evaluation, model versioning, and monitoring tools (e.g., SageMaker, MLflow, LangChain, Vector Databases).
• Experience testing APIs, microservices, and event-driven architectures.
• Background in testing non-deterministic systems, including applying statistical or heuristic testing approaches.
• Contributions to open-source testing or AI tools are a plus.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Global Resolution Engineer (GRE) – Networking SME at WEKA, you will serve as a top-tier technical escalation resource with deep specialization in networking for high-performance computing (HPC), AI/ML, and enterprise environments. You will be embedded in the GRE team and work cross-functionally with Customer Success, Engineering, and Product to resolve critical customer issues, influence product networking design, and improve global support readiness.

You will combine your expertise in modern networking technologies (Ethernet, Infiniband, RDMA, DPDK, UCX) with an understanding of WEKA’s unique networking stack and deployment architectures, helping customers achieve maximum performance, stability, and scalability in demanding environments.

As a GRE - Networking SME you'll: 

• Serve as the primary escalation point for complex customer issues related to networking, fabric design, connectivity, and performance in WEKA deployments.
• Troubleshoot Layer 1–4 networking problems in high-throughput, low-latency environments, including AI/ML pipelines and HPC clusters.
• Collaborate with Customer Success Engineers to mentor, review case strategy, and elevate overall team networking competence.
• Engage in proactive problem prevention by analyzing field data to identify emerging patterns, bottlenecks, or systemic flaws in network configurations.
• Maintain and evolve WEKA’s Known Issues Database, Technical Advisories (WTAs), and Knowledge Base (KB) with network-centric content.
• Partner with the Development team to provide detailed root cause analyses and influence future product capabilities and diagnostics tools.
• Conduct deep-dive training sessions on advanced networking topics for internal support teams and key customers.
  Participate in technical design reviews, both internally and with customer architecture teams, to ensure networking best practices are followed.
• Continuously improve WEKA’s internal tooling for packet capture, latency analysis, flow visualization, and path validation.
• Represent GRE in cross-functional architecture reviews involving customers, field engineers, and partners, with a focus on networking readiness and scalability.
• Support global 24/7 operations through on-call participation and high-severity incident resolution.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; equivalent experience accepted.
• 15+ years in advanced technical support, network engineering, or network architecture roles in enterprise, cloud, or HPC environments.
• Demonstrated ability to act as a technical lead in multi-team escalations and customer-critical situations.
• Experience working with or supporting cloud providers (AWS, Azure, GCP) and hybrid deployments is preferred.
• English fluency required; additional languages a plus.
• Flexibility to support global operations, including on-call rotation and occasional travel.
  
  

Additional required skills:

• Subject matter expertise in modern data center networking, including Ethernet (10/25/40/100/400G), Infiniband (HDR/NDR), RDMA (RoCE), DPDK, and UCX.
• Extensive experience with multi-vendor enterprise switching and routing platforms (Arista, NVIDIA/Mellanox, Cisco, Juniper).
  Deep understanding of TCP/IP, LACP, ECMP, jumbo frames, MTU tuning, congestion control, and QoS in storage and compute networks.
• Hands-on experience with network telemetry tools, performance tuning, and link-level diagnostics (ethtool, iperf, perfquery, ifconfig, fabric utilities).
• Advanced Linux systems administration with emphasis on network stack debugging and tuning (sysctl, iptables/nftables, routing tables).
• Proven ability to resolve complex technical issues in distributed systems, particularly in storage-heavy, compute-intensive workloads.
• Excellent written and verbal communication skills, with the ability to convey technical detail clearly and concisely.
• Familiarity with WEKA’s architecture and networking requirements is a strong plus.
• Ability to lead architectural discussions on datacenter fabrics for scale-out systems (AI training clusters, hybrid cloud architectures, etc.).
• Strong documentation skills; able to produce clear internal guides and customer-facing technical content.
  Bonus: Experience with Kubernetes networking (CNI plugins, pod networking), Terraform, Ansible, or scripting in Python/Bash for automation.

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the job

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What You’ll Be Doing

This is a customer-facing Premium Services role that combines deep, hands-on Ceph architecture and administration with the high-touch, outcome-driven approach of a Senior Designated Services Engineer (DSE). You will be the primary Ceph subject matter expert for assigned strategic customers and internal initiatives, owning the design, deployment, lifecycle operations, and performance of Ceph-based object storage environments. In parallel, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. You will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships.

Collaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. Your role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.

Ceph Architecture & Operations

• Architect, deploy, and operate large-scale production Ceph clusters supporting S3 with an emphasis on availability, performance, and operational simplicity.
• Own cluster lifecycle activities: upgrades, patching, configuration management, routine health checks, and proactive risk remediation.
• Troubleshoot complex issues across the Ceph stack, lead incident response and root-cause analysis.
• Establish and maintain runbooks, operational best practices, and customer-facing documentation; drive continuous improvement in reliability, observability, and automation.
• Partner with customer teams on security and compliance requirements
• Advise on hardware and topology choices to meet workload requirements.

Designated Services Engineering 

• Serve as the primary technical liaison between customers and WEKA Engineering/Product to address feature gaps, reliability concerns, and documentation improvements.
• Own, track, and document customer issues via the ticketing system; drive issues to resolution with clear, timely communication and executive-ready updates when needed.
• Proactively monitor customer environments (Ceph and WEKA) using observability and remote monitoring tools to identify and remediate risks before they impact production.
• Support account teams (Customer Success, Sales Engineering, Partners/Resellers) with deep technical expertise and credibility in front of senior customer stakeholders.
• Contribute to knowledge sharing through internal and customer-facing documentation (FAQs, KB articles, runbooks) and repeatable troubleshooting playbooks.
• Manage multiple engagements and cases concurrently, balancing urgency, impact, and long-term customer outcomes.
• Participate in on-call and follow-the-sun support rotations as required; work occasional alternative hours (nights/weekends/holidays) and travel as needed.

Learning & Growth at WEKA

• Ramp on WEKA’s architecture, tooling, and support model, and progressively take ownership of designated services engagements beyond Ceph.
• Develop deeper expertise in S3-compatible object storage concepts and ecosystems (clients, load balancing, performance testing, multi-tenancy), with mentorship from WEKA SMEs.
• Partner with internal teams to improve product supportability and operational excellence for object-storage use cases.

Requirements

We’re looking for a senior, customer-facing engineer who can lead Ceph architecture and operations today, and who is excited to grow into a broader object-storage and WEKA role.

• 10+ years in customer-facing technical roles solving complex enterprise infrastructure issues.
• 5+ years of hands-on Ceph experience in production: cluster design, deployment, upgrades, and day-2 operations.
• Strong understanding of Ceph internals and operational mechanics: MON quorum, MGR active/standby, OSD behavior, CRUSH and CRUSH maps, pools and placement groups (PGs), recovery/backfill and rebalancing.
• Experience operating large-scale (multi-PB) Ceph environments and navigating the operational challenges of fleet size, PG scaling, and long-running recovery events.
• Practical experience with Ceph RGW and S3 concepts (buckets, users/tenants, load balancing, scaling patterns, performance troubleshooting).
• Expertise in Linux/Unix administration in multi-platform, distributed environments.
• Strong troubleshooting skills across hardware, OS, networking, and distributed storage layers (including diagnosing performance bottlenecks and failure scenarios).
• Deep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.
• Experience with observability and monitoring stacks (Prometheus/Grafana and common log/metrics tooling).
• Proficiency in Python and/or Bash; comfort building automation for monitoring, diagnostics, and repeatable operational tasks.
• Excellent written and verbal communication skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders.

It’s Nice If You Have

• Experience with Kubernetes/Containers and/or cloud platforms (AWS, Azure, OCI, GCP) in storage-heavy environments.
• Familiarity with Jira, Confluence, Slack, and collaborating across Support, Engineering, and Product teams.
• Experience supporting HPC or AI/ML infrastructure (GPU clusters, high-throughput networking, performance benchmarking).
• Experience with infrastructure-as-code or config management (Ansible, Terraform, etc.).
• Strong technical writing skills and a habit of creating reusable runbooks and playbooks.

What Success Looks Like

• Customers view you as a trusted technical leader for Ceph and object storage, and they proactively engage you for architectural guidance and operational reviews.
• You can independently assess Ceph cluster health, identify risk, and lead remediation plans that improve availability and performance.
• You deliver consistent, high-quality customer communications and drive issues to resolution while partnering effectively with internal teams (CS, Product and Engineering).
• You build durable artifacts (runbooks, dashboards, automation, postmortems) that raise the operational maturity of customer environments and WEKA’s supportability.
• You ramp quickly on WEKA’s products and processes and expand your ownership beyond Ceph into broader designated services engagements.

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Senior Designated Services Engineer, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. You will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships. Collaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. Your role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.

As a Senior Designated Services Engineer, you’ll:

• Serve as the primary technical liaison between customers and Engineering to address feature gaps, reliability concerns, and documentation improvements.
• Troubleshoot and resolve technical issues, escalating to Engineering when necessary.
• Provide feedback to Engineering to enhance product supportability, usability, and serviceability.
• Support pre-sales engineers, partners, and resellers with technical expertise.
• Proactively monitor WEKA systems using remote monitoring tools to identify and address potential issues.
• Own, track, and document customer issues via the ticketing system.
• Communicate clearly and professionally with customers, partners, and internal teams.
• Contribute to knowledge-sharing through internal and customer-facing documentation (FAQs, KB articles).
• Manage multiple projects and support cases concurrently.
• Advocate for customer concerns and represent WEKA externally.
• Develop subject matter expertise in WEKA and customer technologies.
• Participate in on-call, follow-the-sun support rotations as needed.
• Availability for alternative work hours (nights, weekends, holidays) and potential regional/international travel.

Requirements:

• 10+ years in customer-facing technical roles, solving complex enterprise infrastructure issues.
• Ability to diagnose hardware failures, network congestion, and performance bottlenecks.
• Enterprise infrastructure L3 or higher support experience (Linux-based storage, networking, virtualization, cloud, etc.).
• Strong technical troubleshooting in multi-platform, distributed environments.
• Strong understanding of distributed storage systems.
• Expertise in Linux/Unix administration.
• Deep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.
• Proficiency in Python, Bash, and experience with automation scripting for system monitoring and troubleshooting.
• Knowledge of POSIX, NFS, S3 protocols, log management, and monitoring tools (Prometheus, Grafana).

It's nice if you have:

• Experience with JIRA, Confluence, Slack, and other collaboration tools.
• Experience collaborating between customer support and product development teams.
• Familiarity with Kubernetes, Containers, LXC, and cloud platforms (AWS, Azure, OCI, GCP).
• Prior experience managing large-scale HPC clusters.
• Strong technical writing skills and a creative approach to problem-solving.

The WEKA Way:

We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.

We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.

We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.

We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The role:

The Head of Creative Studio will drive the next chapter of CookUnity's performance marketing, harnessing AI to amplify storytelling, accelerate content/creative production, and enable rapid creative testing at scale. This role reports to the Head of Growth and operates at the crossroads of strategy, creative, and technology.

Creative strategy is your core: you understand audiences deeply, know what makes ads convert, you are obsessed with testing and can navigate the nuances of different formats. Working closely with the Growth Marketing team, you'll turn strategic priorities into scalable creative systems, testable concepts, and high-performing assets. You'll also architect the AI-driven workflows and production pipelines that multiply output and compress learning cycles.

Responsibilities:

Creative Strategy for Growth Partner with the Growth Marketing team to shape and execute creative strategies across performance channels—Meta, TV, direct mail, YouTube, email, and landing pages—ensuring every concept resonates with real customers. Develop frameworks for high-performing creative territories and connect data, testing insights, and customer behavior to new creative opportunities.

Build CookUnity's AI Creative Engine: Design the end-to-end AI-assisted creative system, including workflows, prompt libraries, guardrails, asset databases, and tool stacks. Integrate AI across formats—research, image, video, motion, and sound—while maintaining quality, consistency, and brand alignment. Use AI to accelerate creation without replacing craft, from rapid prototyping to advanced experimentation.

Scale Creative Production & Velocity: Oversee a pipeline capable of producing a high volume of weekly assets across UGC, motion, product, chef storytelling, and paid media formats. Blend human creativity with AI-enabled workflows to increase speed, reduce bottlenecks, and uphold quality. Build repeatable systems that transform big ideas into scalable, test-ready assets.

Cross-Functional Collaboration: Work with Brand, Growth, CRM, Studio Production, Product, and Engineering to deploy AI-powered creative across campaigns, onboarding flows, lifecycle marketing, and personalization efforts. Partner with Production and Studio teams to balance AI workflows with traditional craft, and collaborate with technical teams to translate creative needs into tools and automated solutions.

Drive Creative Experimentation & Performance: Collaborate with Growth Marketing to design structured testing frameworks, concept logs, and learning agendas. Develop AI-powered methodologies for testing creative variations at scale and translate performance data into actionable creative insights.

Creative Quality & Brand Integrity: Maintain a high bar for taste, clarity, and craft across all assets, whether AI-assisted or human-made. Ensure CookUnity's creative expression remains chef-driven, high-quality, and emotionally resonant.

Lead a Hybrid Creative Team: Mentor and develop designers, editors, AI specialists, and video producers. Foster a culture of curiosity, experimentation, high standards, and operational clarity.

Qualifications:

• 7+ years of experience in creative strategy or marketing leadership roles with a track record of innovation.
• 2+ years of hands-on experience with generative AI and creative technology tools (e.g., Midjourney, Runway, Google Veo 3, Kling AI, ElevenLabs, Adobe Firefly, Stable Diffusion, HeyGen, N8N).
• Strong understanding of performance marketing, brand storytelling, and content operations.
• Exceptional communication, presentation, and organizational skills.
• Ability to translate complex technology into scalable creative systems.
• Entrepreneurial mindset with comfort in fast-paced, evolving environments.
• Deep curiosity for AI, creativity, and human-machine collaboration.
• Preferred: Experience working in startups, high-growth environments, or tech companies.

Who You Are

Visionary and pragmatic—able to think boldly while building systems that scale. Highly collaborative with strong cross-functional influence. Passionate about creativity, culture, and emerging technology. A hands-on problem solver who balances data with intuition. Resilient, adaptive, and energized by experimentation.

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

🩺  Health Insurance coverage

🌅 401k Plan

📈 We grow, you grow: Stock Options Plan granted on Day 1 

🌟 Eligible for a bi-annual performance bonus 

⛱ Unlimited PTO 

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

🧘🏽‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

Senior Data Engineer

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry’s core data pipelines and models used to understand key business performance.  Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do:

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
• Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• Bachelor’s degree required, or relevant experience  
• 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
•  Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
• Expert in ETL, data modeling and version control, dbt and GitHub preferred
• Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers 
• Knowledge and understanding of AWS data ecosystem
• Experience with data extraction tools (Estuary, Airbyte, etc.)
• Experience with programming language like Python, JavaScript
• Experience with Business Intelligence tools, Looker preferred
• Familiarity with data streaming technologies
• Demonstrated experience with continuous integration/continuous deployment tools
• Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
• Ability to work in a fast paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5         

#LI-Remote

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience deploying and maintaining machine learning models in production environments.
• 4+ years of experience in machine learning, focusing on data engineering and/or data science.
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

The Role:

• We are looking for a Tech Enablement Engineer to join our B2B Operations team, where you will play a key role in building and optimizing the internal technology that powers CookUnity’s B2B initiatives.
• In this role, you’ll work closely with the Tech Enablement Lead (to whom you will report) and collaborate with stakeholders across operations, product, and engineering to deliver innovative solutions.
• You’ll be developing end-to-end automation workflows, creating internal web/mobile applications, maintaining custom hardware setups (like our smart fridge prototypes), and managing integrations with third-party software.
• This is a great opportunity for a mid-level engineer who enjoys working on a wide range of technologies – from scripting and full-stack development to IoT devices and AI tools – all with the goal of improving efficiency and enabling growth.
• If you are enthusiastic about solving complex operational problems with creative tech solutions, and you thrive in a cross-functional environment, then this role will be a perfect fit.

Responsibilities:

• Build & Optimize Automations: Ideate, develop, and maintain end-to-end automation workflows to streamline internal processes. This includes using low-code tools (like n8n) and custom scripts (SQL, Google Cloud Functions, Apps Script, Node.js/Python) to connect APIs, databases, and services, reducing manual work for our teams.
• Full-Stack Internal Tools: Create and enhance internal applications for web and mobile. You’ll work with modern front-end frameworks (e.g. React/Next.js) and back-end code (Node.js, Python, SQL) to build tools that improve our Ops and B2B services. You will also set up CI/CD pipelines (GitHub Actions or similar) to deploy these tools efficiently.
• Hardware (IoT): Contribute to the development and upkeep of custom hardware solutions, such as our Raspberry Pi–powered smart fridges. This involves working with electronic locks, sensors, cameras, and integrating computer vision capabilities. You’ll help ensure these devices are remotely accessible, regularly updated, and functioning reliably in the field.
• Third-Party Integrations: Manage and improve integrations with external software used by the team (such as Zendesk, Aircall, Jira, etc.). This could mean configuring integrations, writing custom API wrappers or webhooks, and ensuring data flows smoothly between CookUnity’s systems and these platforms.
• AI Tools & Agents: Experiment with and build AI-driven tools to support the team’s objectives. For example, you might prototype AI agents or chatbots to assist with support tasks or data analysis, leveraging frameworks or APIs for natural language processing.
• Marketing & CRM Support: Work closely with our Marketing and Data teams to automate their workflows. This can include connecting marketing automation platforms, writing scripts to handle data ingestion or transformation for Salesforce, and implementing validation rules or triggers in our CRM to maintain data integrity. You’ll also help create custom Salesforce dashboard components or integrations as needed.
• Documentation & Handover: Document all your solutions and processes clearly. Because Tech Enablement often pioneers new tools and workflows, you will ensure that everything built is well-documented and can be easily handed over or transitioned to Product/Engineering teams for long-term ownership. You’ll create how-to guides, architecture diagrams, and operational runbooks to facilitate smooth knowledge transfer.

Minimum Requirements:

• 3+ years of experience in software development, with hands-on exposure to a broad range of technologies.
• Proficiency in coding with JavaScript/TypeScript and Python. You have built scripts or services in these languages and are comfortable with both front-end and back-end development.
• Experience developing web applications using modern frameworks (for example, React/Next.js on the front end and Node.js or Python on the back end).
• Solid understanding of RESTful APIs and webhooks, and experience integrating with third-party APIs or SDKs.
• Familiarity with SQL databases and ability to write and optimize SQL queries.
• Experience with automation workflows or low-code platforms (such as n8n, Zapier, or similar), or demonstrated ability to design custom automation scripts to connect various systems.
• Basic knowledge of cloud services and DevOps: comfortable deploying apps or functions on cloud platforms (e.g. Google Cloud Functions, AWS Lambda) and using CI/CD pipelines for version control and deployment.
• Exposure to working with hardware or IoT projects (even if hobbyist): you can configure devices, install OS/software on a Raspberry Pi (Linux), and troubleshoot connectivity or sensor issues.
• Strong problem-solving and troubleshooting skills across different domains (software, hardware, integrations).
• Fluent English communication skills (verbal and written). Ability to effectively communicate technical ideas to non-technical team members and collaborate across teams in English.
• Fluency with AI engineering tools.

Preferred Requirements:

• Experience with workflow automation tools like n8n (self-hosted or cloud), Zapier, or HubSpot workflows, especially in an operations context.
• Hands-on experience with Raspberry Pi or Arduino projects, and familiarity with protocols (GPIO, I2C, etc.) or using camera modules for computer vision.
• Knowledge of Salesforce (or other CRM) data structure and APIs, including building data pipelines or using ETL tools to feed data into Salesforce, and understanding of Salesforce Process Builder/Flow or validation rules.
• Familiarity with Google Cloud Platform services (Firestore, Cloud Functions, etc.) and/or other cloud providers (AWS, Azure) for building and hosting applications.
• Understanding of AI/ML concepts or prior experience integrating AI APIs (e.g., OpenAI GPT) into applications or bots.
• Experience with customer support and marketing tools (e.g., Zendesk, Aircall, email marketing platforms) and implementing tech solutions around them.
• Comfortable working in a fast-paced startup environment where you’ll have to wear multiple hats and coordinate with diverse teams.
• A self-starter attitude with curiosity and willingness to continuously learn new technologies and tools.

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD!

🗺 Work remotely: design the life that you want.

⛱ Enjoy 15 business days of vacation each year from the start date.

🎄16 fully paid Argentinean holidays.

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider.

🗓️ 5-year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical.

🐣 Paid family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises.

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform.

🧑‍🏫 Personalized English coach.

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

The role:

The Head of Creative Studio will drive the next chapter of CookUnity's performance marketing, harnessing AI to amplify storytelling, accelerate content/creative production, and enable rapid creative testing at scale. This role reports to the Head of Growth and operates at the crossroads of strategy, creative, and technology.

Creative strategy is your core: you understand audiences deeply, know what makes ads convert, you are obsessed with testing and can navigate the nuances of different formats. Working closely with the Growth Marketing team, you'll turn strategic priorities into scalable creative systems, testable concepts, and high-performing assets. You'll also architect the AI-driven workflows and production pipelines that multiply output and compress learning cycles.

Responsibilities:

Creative Strategy for Growth Partner with the Growth Marketing team to shape and execute creative strategies across performance channels—Meta, TV, direct mail, YouTube, email, and landing pages—ensuring every concept resonates with real customers. Develop frameworks for high-performing creative territories and connect data, testing insights, and customer behavior to new creative opportunities.

Build CookUnity's AI Creative Engine: Design the end-to-end AI-assisted creative system, including workflows, prompt libraries, guardrails, asset databases, and tool stacks. Integrate AI across formats—research, image, video, motion, and sound—while maintaining quality, consistency, and brand alignment. Use AI to accelerate creation without replacing craft, from rapid prototyping to advanced experimentation.

Scale Creative Production & Velocity: Oversee a pipeline capable of producing a high volume of weekly assets across UGC, motion, product, chef storytelling, and paid media formats. Blend human creativity with AI-enabled workflows to increase speed, reduce bottlenecks, and uphold quality. Build repeatable systems that transform big ideas into scalable, test-ready assets.

Cross-Functional Collaboration: Work with Brand, Growth, CRM, Studio Production, Product, and Engineering to deploy AI-powered creative across campaigns, onboarding flows, lifecycle marketing, and personalization efforts. Partner with Production and Studio teams to balance AI workflows with traditional craft, and collaborate with technical teams to translate creative needs into tools and automated solutions.

Drive Creative Experimentation & Performance: Collaborate with Growth Marketing to design structured testing frameworks, concept logs, and learning agendas. Develop AI-powered methodologies for testing creative variations at scale and translate performance data into actionable creative insights.

Creative Quality & Brand Integrity: Maintain a high bar for taste, clarity, and craft across all assets, whether AI-assisted or human-made. Ensure CookUnity's creative expression remains chef-driven, high-quality, and emotionally resonant.

Lead a Hybrid Creative Team: Mentor and develop designers, editors, AI specialists, and video producers. Foster a culture of curiosity, experimentation, high standards, and operational clarity.

Qualifications:

• 7+ years of experience in creative strategy or marketing leadership roles with a track record of innovation.
• 2+ years of hands-on experience with generative AI and creative technology tools (e.g., Midjourney, Runway, Google Veo 3, Kling AI, ElevenLabs, Adobe Firefly, Stable Diffusion, HeyGen, N8N).
• Strong understanding of performance marketing, brand storytelling, and content operations.
• Exceptional communication, presentation, and organizational skills.
• Ability to translate complex technology into scalable creative systems.
• Entrepreneurial mindset with comfort in fast-paced, evolving environments.
• Deep curiosity for AI, creativity, and human-machine collaboration.
• Preferred: Experience working in startups, high-growth environments, or tech companies.

Who You Are

Visionary and pragmatic—able to think boldly while building systems that scale. Highly collaborative with strong cross-functional influence. Passionate about creativity, culture, and emerging technology. A hands-on problem solver who balances data with intuition. Resilient, adaptive, and energized by experimentation.

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD.

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach