Your New Role and Team
Sanctuary AI is looking to hire a Machine Learning Deployment Engineer, with a strong background in CI/CD and cloud infrastructure. Reporting to the Data Collection Team Lead, you will design and implement CI/CD pipelines, tools, and scripts to achieve rapid iteration of both software and machine learning model deployments.
For this role you’ll bring a functional knowledge of build systems, code coverage, test automation, and security scanning to automate the deployment of our general-purpose robots’ control stack. The ideal candidate for this role will be a versatile, creative engineer with excellent communication skills and a firm grasp of modern practices in data and software engineering, operations, and security. The work you do will support the functionality and security of the world’s first human-like intelligence in general purpose robots, enabling us to iterate on new innovations rapidly.
Our Success Criteria
- Bring hands on experience with defining cloud infrastructure to support the development, packaging, and deployment of software to a hybrid environment
- Bolster your career experience by developing automated build, test, and deploy pipelines and supporting tools that enable rapid iteration/continuous improvement
- Build reporting and monitoring solutions that provide continuous feedback to stakeholders
- Write custom tools and scripts to increase software and ML model development velocity and reliability
- Expand your security experience by incorporating security-by-design into new and existing software systems
Your Experience
Qualifications:
- Bachelor's degree in Engineering, Computer Science, or equivalent degree
- 3+ years of hands-on experience engineering production software in a cloud environment
- Expertise in defining CI/CD pipelines and operating related infrastructure
- Familiarity with machine learning training and runtime practices
- Working knowledge of security, identity and access management, and networking for machine public cloud providers (AWS/Azure/GCP)
Skills:
- CI/CD pipeline design using GitLab CI, Jenkins, or similar
- Infrastructure as code using Terraform, AWS CDK, Ansible, or similar
- Familiarity with Kubernetes
- Familiarity with at least one programming language such as Python, Typescript, or C++
- Expert-level knowledge of Unix, including shell scripting, file systems, networking, and process management
- Experience with security at the network, transport, and application layers (DNS-SEC, OWASP, HTTP, TLS, etc.)
- Experience with MLOps tools, such as Weights & Biases, ClearML, or MLFlow is desirable
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
- Strong communication and interpersonal skills
- Self-motivated and able to solve problems independently
- Obsession with bringing human-like intelligence to machines
Compensation:
At Sanctuary AI, we provide above average total compensation that includes three components: salary, equity, and benefits. Our goal is to ensure fairness in pay and we strive to make the overall package highly competitive with current market rates.
Equity:
Equity will play a significant role in the total compensation for this role. Our goal is to provide a generous equity compensation package, exceeding what is typically offered by companies of our size. The specific amount of equity will be communicated to candidates upon receiving an offer.
Benefits - Canadian permanent employees are eligible for:
+ Medical Insurance
+ Dental
+ Vision
+ Hearing Aids
+ Life Insurance and AD&D
+ Prescriptions
+ Paramedicals
+ Hospital
+ Travel
+ $500 per calendar year Healthcare Spending Account
+ Unique complimentary beverages and snacks at our head office
The compensation and benefits details provided for this role in Vancouver, BC are based on Sanctuary AI's market evaluation and may be subject to changes in the future. Your pay within the specified range will depend on various job-related factors, such as your past work experience, relevant education, and performance during interviews or work trials. Salary minimum provided is an entry-level rate for this role, as a requirement of the Pay Transparency Act in British Columbia.
** Please do not submit any information that is confidential to you or any third party. By submitting an application, you acknowledge and agree that your application does not contain any information that is confidential to you or any third party. **
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.
Benefits
Full time (non co-op) employees enjoy medical/dental/vision coverage, life insurance, wellness programs, stock options, paid time off (3 weeks vacation accrued annually, paid statutory holidays, paid statutory sick leave, and statutory parental leave), scheduling and worksite flexibility by role, and more.
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.
