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 an Applied AI Engineer and be at the forefront of building the future of the digital workforce. We are not just developing another chatbot or a basic copilot; our ambition is to create truly autonomous AI systems that will revolutionize how work is done.
- • In this pivotal role, you will be instrumental in designing, developing, and deploying cutting-edge AI solutions that drive our core product forward. You will tackle complex challenges in areas such as natural language understanding, machine learning, reinforcement learning, and large language models (LLMs), translating theoretical advancements into practical, impactful applications.
- • You will collaborate closely with a talented team of researchers, engineers, and product managers, contributing to every stage of the AI development lifecycle, from initial ideation and data exploration to model training, evaluation, and production deployment.
- • Your responsibilities will include architecting robust and scalable AI systems, implementing sophisticated machine learning algorithms, and fine-tuning LLMs for specific tasks and domains. You will be expected to stay abreast of the latest research and industry trends, bringing innovative ideas and techniques to the team.
- • A significant part of your role will involve working with large datasets, performing data preprocessing, feature engineering, and ensuring data quality to support effective model training. You will also be involved in designing and conducting experiments to validate model performance and identify areas for improvement.
- • You will play a key role in optimizing AI models for efficiency, latency, and accuracy, ensuring they meet the demands of real-world applications. This includes exploring techniques for model compression, distributed training, and efficient inference.
- • Furthermore, you will contribute to the development of Mlabs' AI infrastructure, helping to build and maintain the tools and platforms that enable rapid experimentation and deployment of AI models.
- • You will be expected to write high-quality, well-documented, and maintainable code, adhering to best practices in software engineering and MLOps.
- • The role requires a deep understanding of the ethical implications of AI and a commitment to developing responsible and unbiased AI systems. You will contribute to discussions and implementations that ensure fairness, transparency, and accountability in our AI products.
- • You will have the opportunity to present your work to internal teams and potentially to the wider AI community through publications or conference presentations.
- • We are looking for individuals who are passionate about pushing the boundaries of AI and are eager to make a tangible impact on the digital workforce. This is a unique opportunity to work on challenging problems with a team that values innovation, collaboration, and technical excellence.
- • Your work will directly influence the capabilities of our autonomous AI agents, enabling them to perform complex tasks, learn from experience, and interact intelligently with users and systems.
- • You will be involved in the research and development of novel AI architectures and algorithms tailored to the specific needs of autonomous digital workers.
- • This role offers significant opportunities for professional growth, learning, and development within a fast-paced and dynamic startup environment.
- • You will contribute to building a culture of continuous learning and improvement within the AI engineering team, sharing knowledge and mentoring junior engineers.
- • The ideal candidate will possess a strong theoretical foundation in AI and ML, coupled with practical experience in applying these concepts to solve real-world problems.
- • You will be comfortable working with various programming languages and frameworks commonly used in AI development, such as Python, TensorFlow, PyTorch, and scikit-learn.
- • Your ability to translate business requirements into technical AI solutions will be crucial for success in this role.
- • We encourage a proactive approach to problem-solving and a willingness to explore unconventional solutions.
- • You will be part of a team that is defining the next generation of AI-powered tools and services, making a real difference in how businesses operate.
- • The opportunity to work on groundbreaking technology with a clear vision and mission is at the heart of this role.
🎯 Requirements
- • Proven experience in developing and deploying machine learning models, with a strong understanding of ML algorithms, statistical modeling, and data mining techniques.
- • Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch) and experience with Python programming.
- • Solid understanding of natural language processing (NLP) concepts and experience with LLMs.
- • Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- • Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
- • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
🏖️ Benefits
- • Competitive salary and equity package.
- • Comprehensive health, dental, and vision insurance.
- • Flexible work arrangements, including remote options.
- • Generous paid time off and holidays.
- • Opportunities for professional development and continuous learning.
- • A dynamic and collaborative work environment with a talented team.
Skills & Technologies
Data Science
Remote
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.
