Machine Learning Platform Engineer

Imagine a world where your everyday digital tools don't just wait for instructions, but proactively assist you, understanding context and anticipating needs. That's the transformative future A1 is building. We are crafting a smart assistant designed for millions of users, moving beyond basic applications to bring genuine intelligence to conversations, daily errands, organization, and complex workflows. If you're someone who thrives on building the foundational systems that make groundbreaking AI possible, and you're ready to shape the core infrastructure of a truly intelligent product, then keep reading. This is a chance to make a tangible impact on how people interact with technology every single day.

Overview

At A1, we believe in bringing intelligence directly to everyday applications used by billions. Our mission focuses on creating a proactive smart assistant that offers high reliability for long-running workflows, maintains persistent context across interactions, and consistently completes real-world tasks. This involves tackling significant challenges like multi-step reasoning, seamless interaction with external tools, and ensuring reliability even when faced with the inherent non-deterministic nature of model behavior. Our ultimate goal is to help users complete their tasks with over 90% reduced time, making daily interactions genuinely enjoyable and efficient.

This is a fully remote, worldwide opportunity, inviting talent from across the globe to contribute to our mission.

Key Responsibilities

Design, develop, and operate the robust infrastructure and core systems powering A1's advanced AI capabilities.
Own the entire lifecycle of our AI stack, from meticulous model training and evaluation processes to seamless deployment, efficient inference, comprehensive observability, and continuous improvement mechanisms.
Collaborate closely with AI engineers, dedicated researchers, and product engineers to transform cutting-edge AI models into highly reliable, scalable, and cost-efficient production systems.
Develop and maintain essential platforms, innovative tooling, and critical infrastructure that empower the entire team to experiment rapidly and iterate effectively.
Ensure the reliability, performance, and security of all machine learning systems in production.
Contribute to architectural decisions and best practices for MLOps.

Requirements

Strong background in software engineering, with significant experience building and maintaining complex systems.
Demonstrated experience with machine learning platforms and MLOps tools (e.g., MLflow, Kubeflow, Sagemaker, Airflow).
Proficiency in cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Solid understanding of machine learning concepts, model lifecycle management, and data pipelines.
Experience with high-performance, distributed systems and microservices architectures.
A proactive approach to problem-solving and a passion for building scalable, resilient infrastructure.
Excellent collaboration and communication skills, comfortable working in a fast-paced, remote-first environment.

What You'll Gain

The opportunity to build foundational AI infrastructure for a product with immense real-world impact.
Direct influence on the technical direction and architecture of a next-generation smart assistant.
Work alongside a passionate and innovative team dedicated to pushing the boundaries of AI.
Experience solving unique and challenging problems related to reliable, persistent, and proactive AI.
A chance to shape the future of human-computer interaction, making everyday digital life more intelligent and efficient.