POSTED Jul 2

Quality Assurance Engineer - Machine Learning

at Sanctuary AI ⋅ Vancouver, BC

machine learning

robot

reinforcement learning

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Your new role

Sanctuary AI, a world leader in building AI-based control systems for humanoid robots, is seeking a Quality Assurance Engineer for our Machine Learning Team. Reporting to the Head of Machine Learning, you’ll actively contribute to the internal test, validation, and acceptance process critical to the mission of creating human-like intelligence in general purpose robots.

The Quality Assurance Engineer will handle the vital responsibility of helping construct, evolve, and accelerate the capabilities of a system designed to support Sanctuary’s mission. You will gain a comprehensive understanding of our existing systems and component testing process and iterate upon it to improve our performance in software testing, integration, and the ability to bring our robotic hardware platform to life.

The best Quality Assurance Engineer candidate has experience designing and running test programs for high-complexity, network-connected, technological systems. This includes systems comprising hardware, software, and AI/ML technologies, such as those used in autonomous vehicles, drones, mobile robots, or high-performance aerospace vehicles or aircrafts.

As Quality Assurance Engineer you’ll manage test execution, and validation, against our workflow testing process for all components throughout the robotic system, establish procedures and automation for running those tests to maximize scalable testing acceleration. Demonstrated experience in a Systems Engineering discipline would allow you to hit the ground running in this role.

Your new role

Sanctuary AI, a world leader in building AI-based control systems for humanoid robots, is seeking a Quality Assurance Engineer for our Machine Learning Team. Reporting to the Head of Machine Learning, you’ll actively contribute to the internal test, validation, and acceptance process critical to the mission of creating human-like intelligence in general purpose robots.

The Quality Assurance Engineer will handle the vital responsibility of helping construct, evolve, and accelerate the capabilities of a system designed to support Sanctuary’s mission. You will gain a comprehensive understanding of our existing systems and component testing process and iterate upon it to improve our performance in software testing, integration, and the ability to bring our robotic hardware platform to life.

The best Quality Assurance Engineer candidate has experience designing and running test programs for high-complexity, network-connected, technological systems. This includes systems comprising hardware, software, and AI/ML technologies, such as those used in autonomous vehicles, drones, mobile robots, or high-performance aerospace vehicles or aircrafts.

As Quality Assurance Engineer you’ll manage test execution, and validation, against our workflow testing process for all components throughout the robotic system, establish procedures and automation for running those tests to maximize scalable testing acceleration. Demonstrated experience in a Systems Engineering discipline would allow you to hit the ground running in this role.

Success Criteria

Bring hands-on experience in implementing, documenting, and maintaining testing solutions and lifecycles for highly complex technological systems involving both hardware and software.

Gain cutting-edge career experience with product level testing and validation towards delivering the world’s first human-like intelligence in general purpose robots.

Achieve company-wide visibility as you work with leaders to ensure the product level requirements are met, to continually push the boundaries of the systems capabilities forward.

Expand your experience as you develop a user-level understanding of advanced modern robotics and human-like intelligence systems.

Your Experience

Qualifications:

Degree in Engineering or other technical discipline (Computer, Mechatronics, Robotics, Electrical, etc.) or equivalent work experience required.

1-2 years of hands-on experience with software-driven hardware systems.

Experience developing and executing test scenarios and supporting data collection.

Proven ability to write scripts and perform process automation for repeatable testing.

Ability to work in a multidisciplinary team environment, including research scientists, hardware, electrical, and software engineers.

Experience dealing with big data, noisy data, and nondeterministic/stochastic systems, including understanding of data quality.

Skills:

Proficiency in scripting languages such as Python, Bash, JavaScript, or similar.

Familiarity with networking concepts and protocols such as DNS, HTTP, TCP/IP, SSL, etc.

Knowledge of machine learning frameworks and libraries such as PyTorch, TensorFlow, Scikit-Learn.

Exposure to testing frameworks and libraries such as Selenium, Serenity, Robot, or similar.

Familiarity with electromechanical systems, robotics, autonomous vehicles, and/or industrial automation.

Excellent organizational, communication, and process documentation skills.

Traits:

Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.

Optimistic listening and conflict resolution capabilities.

Demonstrated ability to influence others without authority.

Eager to take on new challenges with tenacity and positivity.

Patience, persistence, and attention to detail when resolving performance issues.

Obsession with bringing human-like intelligence to machines.

Working at Sanctuary AI

Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.

Compensation and Benefits

Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.

About Sanctuary AI

Founded in 2018 by Geordie Rose, Olivia Norton, and Ajay Agrawal, Sanctuary AI is a Vancouver, Canada-based company. Sanctuary AI is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.

Members of the Sanctuary AI team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind). The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.

Recruiting & Employment Agency Notice:

Recruitment and hiring is conducted internally by Sanctuary AI. We are not seeking or soliciting any new agency partnerships or agreements at this time. Any employment agency or professional recruiter (“Agency”) that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary AI career site or directly to any Sanctuary AI employee, irrevocably grants to Sanctuary AI the unrestricted right to engage, hire, or contract with that candidate at Sanctuary AI's sole discretion without any compensation to the Agency. We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.

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