Job Overview
Location
New York City, New York, USA
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 27, 2026
Full Job Description
📋 Description
- • **Lead the Strategic Vision for Machine Learning:** As the Director of Machine Learning, you will be instrumental in defining and architecting the company's machine learning strategy from its foundational stages. This role is pivotal in identifying key areas across the product suite where machine learning can deliver significant value, setting the overarching technical direction, and making critical decisions regarding build versus buy for ML infrastructure and capabilities. You will be the driving force behind how ML evolves and integrates into the company's core offerings, ensuring alignment with business objectives and market opportunities.
- • **Architect and Build Production-Ready ML Systems:** You will be responsible for the end-to-end design and implementation of robust, scalable machine learning systems. This encompasses the entire lifecycle, from developing efficient data pipelines and sophisticated model training workflows to establishing comprehensive evaluation frameworks and deploying models for inference. Your expertise will be crucial in ensuring these systems are not only functional but also performant, reliable, and maintainable in a production environment.
- • **Establish a Rigorous ML Evaluation and Iteration Framework:** A core responsibility will be to instill a culture of data-driven development by creating and implementing a rigorous methodology for evaluating model performance. This includes defining key metrics, detecting and addressing model regressions proactively, and fostering an environment where continuous iteration and improvement are driven by objective, measurable results. This ensures that the ML models consistently meet and exceed performance expectations.
- • **Own and Shape the Data Strategy for ML:** You will take ownership of the data strategy, which is fundamental to the success of any ML initiative. This involves identifying the specific data requirements for various ML applications, defining optimal data labeling processes, structuring effective feedback loops from model predictions and user interactions, and ensuring that models can continuously learn and improve over time. This holistic approach to data management will be key to unlocking the full potential of ML.
- • **Collaborate for Seamless Product Integration:** This role requires close collaboration with product management and backend engineering teams. You will work hand-in-hand with these teams to ensure that ML capabilities are seamlessly integrated into customer-facing products and backend systems. Your ability to translate complex ML concepts into practical, implementable solutions will be vital for successful product development and delivery.
- • **Contribute High-Quality Production Code and Architecture:** Beyond strategic leadership, you will also be a hands-on contributor. This includes writing production-quality code within the existing codebase, adhering to best practices, and actively participating in architectural decision-making processes. Your technical contributions will set the standard for the ML function and influence the broader engineering landscape.
- • **Build and Mentor the Future ML Team:** As the company grows and the ML function expands, you will play a key role in recruiting, mentoring, and leading a team of talented ML engineers. Your leadership will be instrumental in fostering a high-performing team, elevating technical standards, and cultivating a collaborative and innovative ML culture. This is an opportunity to build a world-class ML organization from the ground up.
- • **Drive Innovation in AI Cybersecurity:** Operating within a high-growth AI cybersecurity company, you will be at the forefront of protecting enterprises against sophisticated AI-powered threats. This includes developing solutions for deepfakes, smishing, synthetic voice attacks, and other emerging AI-driven security challenges. Your work will directly contribute to securing the digital landscape in the AI era.
- • **Leverage Cutting-Edge Technology and Infrastructure:** You will have the opportunity to work with and shape the adoption of cloud-based ML infrastructure and state-of-the-art ML and data frameworks. This role offers exposure to the latest advancements in AI and the chance to implement them in a real-world, high-impact setting.
- • **Achieve Founding-Level Impact and Autonomy:** This is a unique opportunity to have a founding-level impact, defining the ML function's trajectory with a high degree of autonomy. You will operate without predefined playbooks, empowered to define direction, execute strategy, and build a critical function within a rapidly scaling organization. Your vision and execution will directly shape the company's future success.
🎯 Requirements
- • 8+ years of experience building and deploying machine learning systems in production environments.
- • Proven experience establishing ML infrastructure and capabilities from an early stage, either at a startup or as a senior/lead ML engineer.
- • Strong software engineering fundamentals with hands-on production experience in languages such as Python, Java, or TypeScript.
- • Experience with cloud-based ML infrastructure platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform, or similar).
- • Hands-on experience with core ML and data processing frameworks (e.g., PyTorch, TensorFlow, Spark, scikit-learn, or equivalent).
- • Demonstrated ability to mentor engineers and elevate technical standards within a team.
- • High degree of autonomy, ownership, and a proactive mindset to define and execute strategy without predefined guidance.
🏖️ Benefits
- • Competitive salary and equity options, reflecting your significant contribution and impact.
- • Comprehensive health, dental, and vision insurance plans to support your well-being.
- • 401k retirement savings plan to help you plan for the future.
- • Hybrid work flexibility, offering a balance between in-office collaboration and remote work.
- • Opportunity to work in a high-growth, venture-backed startup at the forefront of AI cybersecurity.
- • Direct influence on the technical direction and architecture of a core business function.
Skills & Technologies
Python
TypeScript
Java
TensorFlow
PyTorch
Hybrid
About Pragmatike Soluciones Tecnológicas S.L.
Spanish technology firm founded in 2014, delivering custom software, mobile apps, cloud migration, and data analytics. Combines agile development, AI, and DevOps practices to serve finance, healthcare, retail, and public sectors across Europe and Latin America. Core services include UX/UI design, QA automation, and 24/7 managed support, with ISO 27001-certified processes and multilingual teams in Madrid, Barcelona, and remote hubs.
