Job Overview
Location
Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 22, 2026
Full Job Description
đź“‹ Description
- • Join Mlabs as a Member of Technical Staff (Applied AI Engineer) and play a pivotal role in shaping the future of open-source browser infrastructure designed to power the next generation of AI agents and applications.
- • This is a unique opportunity to work at the cutting edge of AI and web technologies, contributing to a foundational platform that will enable developers worldwide to build innovative AI-driven experiences.
- • You will be instrumental in designing, developing, and deploying advanced AI models and algorithms that are integrated directly into the browser, unlocking new capabilities for intelligent automation, personalized user experiences, and sophisticated data analysis.
- • Our mission is to democratize AI by making powerful tools accessible and easy to integrate, and your work will directly contribute to this vision.
- • As an Applied AI Engineer, you will tackle complex challenges related to large language models (LLMs), natural language processing (NLP), computer vision, and other AI domains, focusing on their practical application within a browser context.
- • You will collaborate closely with a talented team of engineers, researchers, and product managers to translate ambitious ideas into robust, scalable, and performant software solutions.
- • Responsibilities will span the entire development lifecycle, from conceptualization and research to implementation, testing, and deployment of AI features and infrastructure.
- • You will be expected to stay abreast of the latest advancements in AI research and development, identifying opportunities to incorporate novel techniques and technologies into our platform.
- • This role requires a deep understanding of both AI/ML principles and software engineering best practices, with a strong emphasis on building production-ready systems.
- • You will contribute to the open-source community, engaging with external developers, providing support, and incorporating feedback to improve our offerings.
- • Key areas of focus will include developing efficient inference engines for AI models within the browser, optimizing model performance for resource-constrained environments, and building APIs and tools that simplify AI integration for developers.
- • You will also explore and implement techniques for on-device AI processing, privacy-preserving AI, and real-time AI interactions within the browser.
- • The ideal candidate possesses a strong analytical mindset, a passion for problem-solving, and a proven ability to deliver high-quality code.
- • You will have the opportunity to mentor junior engineers and contribute to the technical direction of the team and the broader Mlabs project.
- • This role offers significant autonomy and the chance to make a tangible impact on a widely used open-source technology.
- • We encourage a culture of continuous learning and experimentation, providing resources and support for professional development.
- • You will be involved in defining the architecture for new AI features, ensuring scalability, reliability, and maintainability.
- • This includes designing data pipelines for training and evaluating AI models, as well as implementing robust monitoring and logging systems.
- • You will work on integrating various AI models, including but not limited to, LLMs for text generation and understanding, computer vision models for image analysis, and recommendation systems.
- • A significant part of the role involves optimizing these models for performance, memory usage, and energy efficiency, especially considering the unique constraints of browser environments.
- • You will also contribute to the development of user-facing features that leverage AI to enhance the browsing experience, such as intelligent content summarization, proactive assistance, and enhanced search capabilities.
- • Collaboration with the community will be key, involving participation in discussions, code reviews, and potentially contributing to documentation and tutorials.
- • The successful candidate will be a proactive individual who can identify challenges and propose innovative solutions, driving projects from inception to completion.
- • This is an exciting opportunity to be at the forefront of a rapidly evolving field, contributing to open-source innovation that empowers a global community of developers and users.
🎯 Requirements
- • Proven experience in developing and deploying machine learning models, particularly in areas such as Natural Language Processing (NLP), Large Language Models (LLMs), or Computer Vision.
- • Strong proficiency in programming languages commonly used in AI development, such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- • Solid understanding of software engineering principles, including data structures, algorithms, system design, and experience with building production-ready applications.
- • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable.
🏖️ Benefits
- • Competitive salary range of $140K - $260K, commensurate with experience and qualifications.
- • Opportunity to work on groundbreaking open-source technology at the intersection of AI and web infrastructure.
- • Collaborative and innovative work environment with a team of passionate experts.
- • Generous paid time off and holidays.
- • Comprehensive health, dental, and vision insurance plans.
Skills & Technologies
Data Science
Senior
Onsite
About MLabs
MLabs is a technology company specializing in the development and implementation of advanced laboratory automation solutions. They focus on creating intelligent systems that streamline complex laboratory workflows, enhance data accuracy, and improve overall efficiency for research and development, quality control, and clinical diagnostics. Their offerings often include robotics, AI-driven software, and integrated hardware designed to automate tasks such as sample handling, analysis, and reporting. MLabs serves a diverse range of industries including pharmaceuticals, biotechnology, and healthcare, aiming to accelerate scientific discovery and improve patient outcomes through cutting-edge automation.
