Help build the future of AI with AI — from wherever you are. At LEAF, we welcome remote talent passionate about making a real impact in AI.
Apply Now • RemoteJoin a purpose-led team building the future of innovation
We place people at the center of every intelligent solution. Join us at LEAF to build smarter systems that solve real problems — from anywhere in the world.
Harness the transformative potential of artificial intelligence to solve real-world problems.
Embrace continuous learning and push the boundaries of what's possible.
Use your skills to create meaningful solutions that transform industries.
We offer more than just a job — we provide a platform for growth, innovation, and global impact.
Join a team that values flexibility, continuous learning, and empowers you to make a real difference from anywhere in the world.
Work from anywhere in the world while creating AI solutions that transform industries globally. From agriculture to manufacturing, healthcare to finance—your work will have tangible impact on businesses and communities worldwide.
Join a diverse team of passionate professionals in a flat organizational structure that encourages open communication. Every voice matters, and every team member contributes to strategic decisions and innovative solutions.
We don't just follow AI trends—we create them. Work on cutting-edge projects that push the boundaries of artificial intelligence, from research to real-world applications, while developing your skills continuously.
We invest in your professional development through conferences, courses, research time, and mentorship programs. Your growth is our success, with cutting-edge tools and opportunities to advance your career.
We're committed to responsible AI development, leading by example in creating ethical, transparent, and inclusive AI systems that benefit everyone while maintaining the highest standards of excellence.
We believe great work comes from balanced lives. Flexible schedules, remote work options, and a supportive culture help you thrive both professionally and personally.
Strengthen connections through fun and collaborative activities that build lasting relationships and enhance team cohesion across our global remote workforce.
Make a difference by contributing to meaningful community initiatives and using AI technology to solve real-world problems that benefit society and the environment.
Take the next step in your career and become part of a team that's shaping the future of AI automation. We welcome full remote work and flexible arrangements.
Join AI Innovation TeamThe principles that guide everything we do at LEAF
We constantly push boundaries and challenge conventional thinking to create breakthrough AI solutions.
We strive for the highest quality in everything we deliver, from code to client relationships.
We believe the best solutions emerge when diverse minds work together toward common goals.
We build trust through transparency, ethical practices, and responsible AI development.
Our straightforward application process designed to find the right fit for both you and LEAF
Send us your resume and a brief note about why you're interested in LEAF. We review every application personally.
A friendly chat to learn about your background, interests, and career goals. This helps us understand if we're a mutual fit.
Depending on the role, we might discuss technical concepts, review portfolio work, or explore problem-solving approaches.
Meet potential teammates and get a feel for our culture. We want you to be excited about joining us as much as we are about having you.
The entire process typically takes 2-3 weeks. We provide feedback at every stage and are always available to answer your questions.
Everything you need to know about AI careers at LEAF
The most sought-after AI skills include machine learning frameworks (TensorFlow, PyTorch), natural language processing, computer vision, deep learning architectures, and AI ethics. Programming proficiency in Python, R, and SQL is essential, along with cloud platforms like AWS, Azure, and Google Cloud. Soft skills like problem-solving, communication, and cross-functional collaboration are equally important as AI projects require diverse team coordination.
Remote AI teams leverage cloud-based development environments, collaborative coding platforms like GitHub, and virtual meeting tools for daily standups and sprint planning. We use shared Jupyter notebooks, containerized development with Docker, and cloud computing resources for model training. Regular code reviews, pair programming sessions, and documentation ensure seamless collaboration across time zones while maintaining high code quality and project momentum.
AI careers offer diverse advancement paths: from junior data scientist to senior AI researcher, from ML engineer to AI architect, or transitioning into AI product management and strategy roles. Many professionals advance to lead cross-functional AI initiatives, become AI consultants, or pursue specialized areas like AI ethics, computer vision, or natural language processing. The field also offers opportunities to contribute to open-source projects, publish research, and speak at industry conferences.
At LEAF, you'll work on diverse AI automation projects including intelligent document processing, predictive analytics for business optimization, computer vision for quality control, natural language processing for customer service automation, and machine learning models for process optimization. Projects range from proof-of-concepts to enterprise-scale deployments, giving you exposure to the full AI development lifecycle and various industry applications.
LEAF prioritizes work-life balance through flexible remote work arrangements, unlimited PTO policy, flexible working hours across time zones, mental health support programs, and regular team building activities. We believe that well-rested and happy employees produce the best AI innovations, so we encourage taking time off and maintaining healthy boundaries between work and personal life.
Our hiring process typically includes: (1) Initial application review and screening call, (2) Technical assessment or coding challenge relevant to the role, (3) Virtual interviews with team members and technical leads, (4) Final interview with leadership and cultural fit assessment. The entire process usually takes 2-3 weeks, and we provide feedback at each stage. We focus on problem-solving abilities, technical skills, and cultural alignment rather than just credentials.
Yes, LEAF actively encourages research and publication. We allocate 20% time for research projects, support conference attendance and paper submissions, collaborate with academic institutions, and maintain an open-source initiative. Team members regularly publish in top-tier AI conferences and journals, and we provide resources for patent applications when applicable. Research contributions are recognized in performance reviews and career advancement.
LEAF invests heavily in continuous learning: internal tech talks and knowledge sharing sessions, mentorship programs pairing junior and senior team members, conference attendance support, and dedicated time for skill development.
LEAF is committed to building diverse AI teams through inclusive hiring practices, partnerships with diversity-focused organizations, bias-aware AI development processes, employee resource groups, unconscious bias training, and equitable compensation practices. We believe diverse perspectives are essential for building ethical AI systems that serve all communities. Our current team represents 15+ countries and maintains gender parity across technical roles.