What are the responsibilities and job description for the MLOps Engineer position at Coactive AI?
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.
This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI.
As an ML Ops Engineer at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure. You will work closely with Research Scientists, ML Engineers, Software Engineers, and Product Managers to streamline the development process and to deploy and monitor machine learning models in production. You will work with the Platform Engineering team to deploy and maintain the infrastructure and the CI / CD processes supporting our ML initiatives, and apply your understanding of ML, and ML tooling and technology, to continuous optimization efforts.
What you'll do :
- Implement observability tooling and practices appropriate to assessing ML Ops across the platform.
- Evaluate and improve the efficiency of ML development and model deployment processes.
- Manage the efficiency of model serving by selecting proper scaling strategies and compute resources.
- Build scalable and resilient ML infrastructure using a combination of managed services and Cloud Native tooling.
- Collaborate with data scientists and software engineers to improve the integration of ML into our platform and applications.
What we're looking for :
What you can expect from us :
This is a hybrid position based in San Jose, California.
The estimated annual base salary for this position is between
At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to :
Further, you can expect a supportive work environment from us. We build products, but we develop people.
Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.
We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Salary : $186,000 - $220,000
