DataOps Engineer, Sanctuary AI

Salary not provided

+ Equity.

Python
Splunk
ELK
Prometheus
Grafana
Datadog
Mid and Senior level
Vancouver
Sanctuary AI

Human-like intelligence robotics

Be an early applicant

Sanctuary AI

Human-like intelligence robotics

101-200 employees

B2BArtificial IntelligenceDeep TechRoboticsMachine LearningScience

Be an early applicant

Salary not provided

+ Equity.

Python
Splunk
ELK
Prometheus
Grafana
Datadog
Mid and Senior level
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 candidate for this role will be a versatile, creative engineer with proven experience in supporting data lake structures, setting up DataOps processes, writing data annotation scripts, data exploration, and feeding data into large-scale ML pipelines and frameworks
  • Bachelor's degree or higher in Computer Science or related fields
  • 3+ years experience in a Data Platform Engineer, DataOps, or equivalent role
  • 2+ years of Experience with ML frameworks, platforms and tools
  • Basic understanding of machine learning algorithms, including reinforcement learning, behavior cloning, and generative AI
  • Knowledge of professional engineering practices for the full product life cycle, including coding standards, code reviews, source management, agile, processes, testing, and operations
  • Demonstrated ability to design, implement, and test in a fast-paced environment
  • Ability to develop data collection efforts that focus on the end-to-end user experience, including anticipating potential failure modes, edge cases, and anomalies
  • Demonstrated proficiency with Python for data pipeline development
  • Demonstrated experience developing, optimizing, and maintaining data warehouse solutions
  • Demonstrated experience with setup and configuration of ML Ops platforms such as Weights & Biases and ClearML
  • Demonstrated experience with Observability platforms such as Splunk, Datadog, ELK Stack, and Prometheus/Grafana
  • Demonstrated familiarity with MLOps, ML, and deep learning techniques; including but not limited to Computer Vision, SLAM, NLP/NLU, and Robotics
  • 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
  • Strong verbal and written communication and interpersonal skills
  • Self-motivated and able to solve problems independently
  • Demonstrated ability to communicate to get things done
  • Obsession with bringing human-like intelligence to machines

What the job involves

  • Sanctuary - a multi award-winning LinkedIn Top Startup company - is looking to hire a DataOps Engineer for our Data Collection team
  • Reporting to the Data Collection Team Lead, you’ll gain a comprehensive understanding of the data collection tools and ML training pipelines that power our general Purpose Robots (GPRs)
  • You’ll be a valued contributor as you learn how our sophisticated multi-degree-of-freedom robotic systems work, while collaborating with multi-functional teams, including ML, Platform, Product Design, and Hardware and Sensor teams, to collect, validate and process large data sets
  • Participate in data collection sessions to ensure their smooth execution
  • Acquire and annotate datasets that align with ML needs
  • Develop algorithms to transform robot telemetry into ML training and validation datasets
  • Build and support a secure, extensive, scalable, repeatable, and high-performing data collection platform
  • Systematically augment datasets in order to increase the accuracy of ML applications
  • Build and deploy ML model evaluation pipelines
  • Analyze collected data and show how the data contribute to the model performance
  • Build and implement tools that will support data analysis

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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