AI/ML Engineer

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 3+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus . Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Conference – an opportunity to meet the team, collaborate, and grow together. Transportation budget Free meals at the hub Gym membership Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. Important Notice Air Apps does not partner with nor is represented by any recruiting agencies, staffing firms, or third-party recruiters in connection with our hiring efforts. All legitimate communication regarding Air Apps opportunities will come exclusively from an official @ airapps.com email address. Additionally, all open positions are published only through our official careers platform, Ashby . If you are contacted by anyone claiming to represent Air Apps from a different email domain, through a recruiting agency, or via a job posting source other than Ashby, please exercise caution. We do not accept unsolicited candidate submissions from agencies, and any such submissions will not be considered.