Machine Learning Operations Software Co-op, Sanctuary AI

January 2025 Term

Salary not provided
Python
Splunk
Grafana
Datadog
Vancouver
Sanctuary AI

Human-like intelligence robotics

Open for applications

Sanctuary AI

Human-like intelligence robotics

101-200 employees

B2BArtificial IntelligenceDeep TechRoboticsMachine LearningScience

Open for applications

Salary not provided
Python
Splunk
Grafana
Datadog
Vancouver

101-200 employees

B2BArtificial IntelligenceDeep TechRoboticsMachine LearningScience

Company mission

To create the world’s first human-like intelligence in general-purpose robots at a time that is right to make it happen.

Role

Who you are

  • The best candidates for this role have excellent software development and machine learning skills and hand-on experience in model deployment and optimization
  • Pursuing or completing a bachelor’s degree in computer science or a related technical field
  • Strong programming skills in Python
  • Experience with observability stacks such as Grafana, Splunk, or Datadog
  • Experience with training and deploying machine learning models
  • Familiarity with ML Ops platforms such as Weights & Biases or ClearML
  • Familiarity with robotics (ROS)
  • 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

What the job involves

  • Sanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Software Engineer Co-op student for our Data Collection and ML Operations team
  • Reporting to the Data Collection and ML Operations Lead, you’ll gain a comprehensive understanding of the operation of our data collection pipeline, and the process of training, testing, deploying and optimizing the machine learning models that power our general-purpose robots
  • You’ll be a valued contributor as you learn to automate and test model training and deployment to drive continuous improvements in our robotic systems
  • Gain cutting edge career experience as you build and operate data collection and machine learning pipelines
  • Expand your engineering experience in both cloud and on-premise systems
  • Achieve company-wide visibility as you partner with our simulation and machine learning research teams to enable our general-purpose robots to learn new skills
  • Tap into your organizational and technical skills as you help convert the latest machine learning research into production deployment

Our take

Sanctuary has set itself the ambitious task of developing human-like intelligence in general-purpose robots, intending to complement the human labor market - and eventually helping humans settle in outer space. Its robots are modelled on the size and shape of humans, and their cognitive architecture is based on the subsystems of the human brain. The hope is that this puts the so-far elusive artificial general intelligence (AGI) in closer reach.

It’s a challenging mission, but the Sanctuary team have remarkable expertise and experience. Before Sanctuary, the founders launched deep tech robotics company Kindred with backing from the likes of Google and Bloomberg Beta. Whilst it was eventually bought out by Ocado, Sanctuary was designed to pick up where Kindred’s early research left off.

Some critics suggest that Sanctuary’s technology isn’t anything new - just yet. Nor has any company promising AGI (including Tesla) offered up material results. There’s also some question as to whether AGI, technologically glamorous though it may be, is better than highly specialised systems. If it can be done, however, there’s no doubt it’ll prove a remarkable deep-tech breakthrough.

Kirsty headshot

Kirsty

Company Specialist

Insights

81% employee growth in 12 months

Company

Funding (2 rounds)

Dec 2022

$30m

GRANT

Mar 2022

$58.5m

SERIES A

Total funding: $88.5m

Company values

  • We are Mission-Drive: With one objective: to create the world’s first human-like intelligence in general-purpose robots. Mission success is the only arrow on the compass that guides our work. To be first, we must act with unwavering urgency, in everything we do
  • We Rise to the Challenge: What we are doing has never been done before. We embrace the magnitude of our mission and face it head-on, with tenacity, speed, and positive determination. We do whatever it takes to ensure we hit our milestones on the road to mission success
  • We Row Together, We Win Together: No matter how great our facilities or capital, we will always maintain the humble mentality of a small, wooden rowboat. Our strength comes from forcefully rowing together towards the same common goal, with each one of us pulling their weight. We stay steady on the course as a team–impervious to distractions and relentless against waves–to reach our destination
  • We Act Responsibly: In everything that we do, we take matters of safety, security, confidentiality, privacy, and trust very seriously
  • We are a Sanctuary: For our employees and for the future. We are a group of technologically-aligned people, working together with high principles and utmost confidentiality within our Sanctuary. When we successfully achieve our mission, we will provide a Sanctuary for generations to come, with solutions to many of the greatest threats to our way of life

Company HQ

Mount Pleasant, Vancouver, BC

Leadership

A Doctor of Theoretical Physics, who subsequently founded and served as CTO of quantum computing systems and software company D-Wave Systems, before moving on to co-found Kindred.ai.

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