nnWe are a team of engineers, product managers, designers, and evangelists who have come together to transform how the world builds.
We value learning above all and are looking for teammates who have the same appetite for growth and expansion.
We welcome candidates with backgrounds in construction and other industries; joining the team could be a great opportunity to bridge your career progression from construction into ConTech.
Come build with us!nn nn nn nn About the role nn nn nn nnAs an ML Ops Engineer, you’ll help build automated computer vision solutions that our customers depend on to do their jobs.
We’re looking for a versatile software engineer to join our fully remote team.
You’ll work closely with a small team of Computer Vision and Machine Learning specialists to take their work from prototype to production deployment.
The right candidate loves overcoming new challenges and can work quickly without compromising quality and maintainability.nn nnRequirementsnn 4+ years of experience designing, deploying, monitoring, and maintaining cloud-based data processing systems used in production An eagerness to learn new things and help others do the same Excellent written and verbal communication skills Self-directed, self-motivated, with the ability to context-switch, prioritize, set and meet release dates, and thrive on a fully remote team nnPreferred Qualificationsnn Expertise in AWS or Google Cloud Working knowledge of Deep Learning for Computer Vision Proficient with CI/CD, Docker, Workflow Orchestration, Dev Tooling, and Machine Learning workloads Ability to define data models and APIs that fit the business domain Experienced integrating with other backend services, third-party APIs, etc.
nnWhat You’ll Buildnn Design and monitor production deployments of Computer Vision and Deep Learning workloads.
Set up reliable and flexible workflow orchestration, tailored to our computer vision and ML tasks.
Improve observability and automated alerting for components in the video upload processing pipeline.
nnWe respect your whole life.
Here are some of the ways we support our team:nn nn
– Generous equity package and competitive salarynn nn
– Flexible Workspacenn nn
– Flextimenn nn
– Medical, Dental, and Vision for full-time employees in the USnn nn
– Team events, Jobsite visits, hackathons, etc.nn nn nn nnWe are a proud equal employment opportunity employer.
We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and dimensional work environment.nn