Future Tech Jobs
Future Tech Jobs
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
As a Machine Learning Engineer, you will collaborate with Data Scientists, Simulation Engineers, and customers to solve complex engineering and physics challenges. You will design, build, and test reliable, scalable ML data pipelines, manipulate 3D point cloud and mesh data, and ensure the successful deployment of AI models in real-world applications.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ...
This role involves working in a highly creative, iterative environment to advance foundational AI models for drug design. You will collaborate with scientists and engineers, implement and optimize state-of-the-art ML models, and contribute to the development of innovative solutions in computational biology and chemistry.
As a Machine Learning Engineer - Robotics & Perception, you will design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. You will work closely with robotics and systems engineers to deploy perception systems in real-world agricultural environments, contributing to the development of cutting-edge agricultural technology.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure the technical feasibility and timely delivery of high-quality ML systems, and act as a technical advisor to clients and partners.
As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and maintain scalable ML systems, and lead a team of engineers. You will also drive innovation, mentor team members, and act as a technical expert for clients, ensuring successful project delivery and adoption of new technologies.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from R&D to production. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and large data sets to generate high-impact customer insights.
This role involves leading engineering efforts on complex machine learning and AI research projects, optimizing algorithms, and ensuring the scalability and robustness of research prototypes. You will work closely with researchers to align engineering work with project goals and have experience with deep learning frameworks and scalable system design.
