Your new role and your team

Sanctuary Ai, a global leading company, is looking at building ingenious Amnesty International for public robots for public purposes, to automated learning engineers (ML) to join our team of experienced engineers, researchers and scientists for facing basic challenges in automated awareness, manipulation, planning, and deepened.

As a member of the ML team, your role will focus on building strong systems to train and operate ML policies on robots, and work closely with researchers to implement and publish new ML technologies in production. By accessing our internal automatic platforms, you will design, test and improve programs that link modern methods to real performance. This position provides a unique opportunity to contribute to both the engineering foundations and the ML capacity that pushes our robots forward.

As part of this role, you will sometimes travel (it is usually from a week to two weeks at one time, several times a year) to cooperate closely with partners and teams in the progress of critical projects.

Success criteria

• Cooperation with multi -functional teams to determine the chances of applying machine learning techniques to solve complex problems.
• Design, development and publishing automated learning models and algorithms to meet the needs and challenges of specific business.
• Implement the solutions that can be developed and effective to integrate automated learning models into production systems.
• Improving and adjusting machinery algorithms to improve performance and accuracy.
• Perform a comprehensive test and verify automated learning models to ensure durability and reliability.
• Keep aware of the latest developments, progress in machine learning and connect promising research trends to the team.
• Providing technical guidance and guidance to the beginners team members.

Your experience

Qualifications

• Master’s degree or doctorate in computer science, engineering, mathematics, or a relevant field.
• 3+ years of experience in automated learning methods, with specialization in areas such as reinforcement or imitating learning to manipulate parliament, computer vision of robots, or natural language processing.
• 4 years of experience in software engineering, focusing on developing and publishing production category applications.
• Experience the process of publishing ML models on production.
• Efficiency with ML frameworks and libraries (for example, pytorch, tensorflow, scikit-learn).
• Experience with ROS2 and parallel computing (for example, Cuda, OpenMP).
• The familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (for example, Spark) are plus.
• The expertise shown in the application of ML technologies in real world systems is highly evaluated. Publications are welcome but unexpected for this role.
• Infintering with the principles and techniques of robots is very desirable.

skills

• Strong programming efficiency in Bethon and C ++.
• Practical knowledge of basic automatic learning techniques and algorithms (for example, supervision/non -supervisory learning, deep learning, reinforcement learning, natural language processing) and the ability to apply it effectively in software systems.
• The ability to improve and adjust ML algorithms for performance and accuracy.
• Skills of solving strong problems and the ability to work effectively in a quick -footed cooperative environment.
• Excellent communication skills, with the ability to explain the complex technical concepts of non -technical stakeholders.
• The ability to drive and guidance, and support the growth of beginners team members.

Signs:

• Above all, constantly positive position and a desire to do everything it takes to create strong solutions to complex problems.
• He takes ownership and accountability, and enhances the same thing in his colleagues.
• A listener sympathetic to conflict resolution capabilities.
• Fixed bias to work, communication and cunning among people.
• Self -motivated and able to solve problems independently.
• The task is driven and emotional about bringing human intelligence to machines.

Work in Sanctuary AI

Sanctuary AI is the owner of equal opportunities. Employment in Sanctuary AI is governed on the basis of skills, efficiency and qualifications and will not be affected in any way in race, color, religion, sex, national/ethnic origin, veteran, disability, age, sexual orientation, sexual identity, mental, physical, or any other legal case. In 2023, Sanctury Ai moved to a modern office facility and was recognized by LinkedIn as a better startup.

Compensation and benefits

Sanctuary provides a pioneering market compensation package that includes competitive salaries, stock risk, a full set of advantages for permanent employees, including health coverage, paid leave, advanced work facilities, and work flexibility according to the role. Our commitment to fairness ensures that our total compensation constantly exceeds market standards.

About the sanctuary of artificial intelligence

Sanctuary was founded in 2018, it builds human robots and a new control system for them that merges symbolic logic and logic with data -based robot basis models. We use our robots to collect vision, sound, touch and brightness data from the robot perspective while performing work tasks in the real world. We use this data to train multimedia robot models. Since our systems are vertically integrated, we can design, spread and refine on a large scale. Our mission is to create the first human -like intelligence in the world in robots for general purposes.

Employment and Employment Agency notification:

Employment and employment are internally used by Sanctuary AI. We are not looking for any new partnerships or agreements at this time or seam . Any professional recruitment agency or recruiter (agency “) that provides an undesirable CV or submits in another way a potential candidate for the job through the position of artificial intelligence, the resort or directly to any employee of artificial intelligence, or irreversibly granted any of the areas protected by the unrestricted right to engage, employ or contract with this candidate in the AI’s haven. We appreciate your interest in working together, and if the need occurs, our talent acquisition team will contact any external companies directly.