ML Inference Engineer

Are you passionate about enabling cutting-edge Machine Learning systems at scale? Do you thrive in environments where innovation, collaboration, and impact are at the core of everything you do? We’re looking for a skilled ML Infrastructure Engineer to join a fast-growing, mission-driven team that’s solving some of the most challenging technical problems in AI and ML.

This is a unique opportunity to work at the intersection of machine learning , software engineering , and infrastructure , helping to shape the backbone of next-generation AI systems. You’ll be part of a team that includes world-class talent —engineers, researchers, and technologists from some of the most respected institutions and organizations in the AI and tech space. Together, we are building the tools and infrastructure needed to accelerate innovation in machine learning and artificial intelligence.

About Us

We are a fast-moving, innovation-first organization that is pushing the boundaries of what’s possible in AI and ML. Our team is made up of industry-leading engineers and researchers who have collectively worked on some of the most impactful projects in AI, from ground-breaking research to large-scale production systems. Together, we are building the tools and infrastructure to empower the next generation of AI applications.

What You’ll Do

• Design and build scalable, robust, and efficient infrastructure to support high-performance machine learning workflows.
• Develop tools and frameworks to optimize the training, deployment, and monitoring of ML models in production.
• Collaborate with research and product teams to ensure seamless integration of state-of-the-art algorithms into production environments.
• Drive innovation in ML infrastructure by exploring and incorporating the latest technologies in distributed systems, data engineering, and model training.
• Identify bottlenecks in existing systems and propose solutions to improve performance, cost efficiency, and scalability.

What We’re Looking For

• Strong technical expertise : Proficiency in Python, C++, or similar programming languages, and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX.
• Infrastructure experience : Deep understanding of distributed systems, cloud platforms (AWS, GCP, Azure), and containerization/orchestration tools like Docker and Kubernetes.
• Experience with ML workflows : Hands-on experience in building or optimizing ML pipelines, handling large-scale datasets, and deploying models in production.
• Problem-solving mindset : A drive to solve complex technical challenges with creativity and efficiency.
• Collaboration skills : An ability to work cross-functionally with researchers, engineers, and product teams to deliver impactful solutions.

Why Join Us?

• Mission-driven team : Join a company that is dedicated to solving real-world problems through AI and ML, with a clear vision for the future of technology.
• World-class talent : Work alongside a team of experts with deep experience in machine learning, software engineering, and infrastructure. Our team includes alumni from leading institutions and companies, with a proven track record of delivering impactful products and research.
• Cutting-edge technology : Be part of a company using the latest tools and methodologies in AI and ML, tackling some of the most exciting technical challenges in the industry.
• Collaborative culture : Experience a work environment that values curiosity, creativity, and ownership, where your ideas and contributions will drive tangible results.
• Flexibility : Enjoy a hybrid or remote-friendly work environment designed to support your productivity and work-life balance.
• Growth opportunities : Be part of a fast-growing organization with ample room for career advancement and technical skill development.