Machine Learning Engineer

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on.

So, if you're ready to seize the endless opportunities and leave your mark, come join us. io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments.

io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale.

Requirements

into scalable, reliable, and high-quality machine learning solutions. This role is responsible for the full lifecycle of ML and LLM-based solutions- from problem formulation and model training to optimization, deployment, and continuous improvement in production. The focus is on NLP, entity extraction, document classification, and LLM-powered automation across multiple business domains.

and design. Build and maintain end-to-end ML pipelines covering training, inference, evaluation, monitoring, and iterative model improvement. Optimize models and inference pipelines for production constraints, including latency, cost, throughput, and infrastructure efficiency.

Deploy, operate, monitor, and improve ML systems in production environments. Translate business challenges into ML system designs and technical trade-offs. Contribute to architectural decisions and the technical direction of applied AI solutions.

We are primarily an in-office environment and therefore, you will be expected to work from the Pregue office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Experience delivering machine learning models into production and improving them over time. Hands-on experience developing NLP and text-based machine learning systems, including LLM-assisted workflows.

Proficiency in Python and machine learning frameworks such as PyTorch, Hugging Face Transformers, spaCy, or similar. Experience implementing ML pipelines to support model training, evaluation, monitoring, deployment, and continuous improvement. Ability to design clean, modular, and maintainable ML solutions in a collaborative environment.

Experience collaborating with software engineers, product managers, and business stakeholders. Strong communication skills and the ability to explain machine learning concepts and system behavior clearly. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers.

Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! Team : We build each other up and set aside ego for the greater good.

WHAT YOU'LL DO

Design and implement ML and deep learning models for discovery and classification use cases, including entity extraction and document classification. Integrate LLMs and ML models into products and automated workflows, delivering measurable improvements in quality and automation.

Perks

to manage a healthy balance, including flexible time off, wellness resources, and company-sponso