The Emotech team is made up of an incredibly talented and diverse group of individuals who all share a common goal: to create technology that’s more human: technology that we can truly connect with, that understands us, and that ultimately improves our lives through innovative and more personal interactions.
We’re always looking for the brightest talents to join us, and help shape the future of AI.
APPLY HERE or email us at careers@emotech.co
Our core stack is a highly distributed, concurrent system of micro services built on Linux and Windows with Rust, Java, C++ and Python. We use gRPC, Websockets and HTTP for communication. Our applications include processing and generation of audio and video data as well as text adding further challenges to the QA role. As a QA engineer you should be proficient in linux command line tools/bash and python scripting and have a good attention to detail. A QA Engineer will carry out and automate tests at various stages of integration. You would be closely collaborating with engineers and designers and scientists to carry out experiments, track and report bugs and anomalies.
We are looking for a Product Manager who will guide and inspire teams to build technology products and find solutions by implementing our multimodal approaches and interactive AI systems into different industries. He/she will be collaborating with a team of research scientists and engineers to develop and implement successful product strategies and roadmaps.
As a DevOps and Infrastructure Engineer, you will take ownership and create strategies, plans to manage deployments of our services, optimise, monitor and secure them. You will be working closely with our R&D and application teams to bring our AI services to our customers around the globe. These include AI multi-modal systems, core speech technologies and interactive digital avatars. Our core stack is a collection of services built on Linux with a focus on throughput and reliability, but we also have an Unreal Engine based Windows deployment. We handle two types of deployments: 1. World-wide cloud deployments to provide services to our SaaS business and 2. on-premises deployments with larger clients in case they need local deployments of our AI services. We are looking for problem solvers, who have a passion for tackling challenging problems and coming up with practical solutions. You will be collaborating with a cross-functional team of talented scientists, engineers and designers who are equally driven. You should be eager to keep up-to-date with the latest technologies, aim to implement reliable, scalable and cost effective infrastructure. The sense for good monitoring and visualisation is equally important.
As a Software Engineer, you will be working closely with our research and design teams to bring our AI services to our customers around the globe. These include multi-modal systems, speech AI and animation based services. Our core stack is a collection of services built on Linux with a focus on throughput and reliability. The majority of services are implemented in Rust, however our codebase does contain some C++11, Go and Java code. Additionally, you may work alongside researchers to bring their prototypes and models to production so an understanding of Python and Machine Learning frameworks like TensorFlow and Torch are desirable. We are looking for problem solvers, who have a passion for tackling challenging problems and coming up with practical solutions. You will be collaborating with a cross-functional team of talented scientists, engineers and designers who are equally driven. You should be eager to learn new technologies including languages and frameworks.
As a Senior Software Engineer, you will take higher responsibilities and supervision of our SWE team and also be working closely with our research and design teams to bring our AI services to our customers around the globe. These include multi-modal systems, speech AI and animation based services. Our core stack is a collection of services built on Linux with a focus on throughput and reliability. The majority of services are implemented in Rust, however our codebase does contain some C++11, Go and Java code. Additionally, you will work alongside researchers to bring their prototypes and models to production so an understanding of Python and Machine Learning frameworks like TensorFlow and Torch are desirable. We are looking for problem solvers, who have a passion for tackling challenging problems and coming up with practical solutions. You will be technically leading and take ownership of at least one larger project at Emotech and supervise less senior engineers. That also includes occasional conversation with a client to better understand their requirements and needs. You will be collaborating with a cross-functional team of talented scientists, engineers and designers who are equally driven. You will also be encouraged to promote Emotech’s technology and solutions in development communities and contribute to open-source projects.
We’re looking for a Senior Product Designer who will guide and inspire teams into finding innovative solutions that implement our multimodal approaches and proactive AI systems into different industries, with a focus on education and healthcare.
As an AI Solutions Engineer, you will be collaborating closely with both our AI Research Scientists, Software Engineers and our clients to bring our cutting-edge AI research solutions into production. The main responsibilities of yours include building strong application expertise of our products and working alongside our customers to understand their problems to provide outstanding professional support, bridging the gap between our R&D team and the customers. You will build a strong understanding of clients needs and guide them towards utilising additional AI technologies that will benefit their business and help them to scale up and increase their competitive advantage.
As a Business Development Manager, you will be fostering the growth of a business by modifying the business plan and business model and putting new projects in the pipeline; making sure supporting departments such as Research and Development, Sales, and Marketing are ready to take on new growth opportunities.