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.
What we need:
We are seeking a Backend Engineer to build highly reliable full-stack applications using foundational AI models. Your role will involve designing and developing services to advance data pipelines for video, audio, and image data. You will architect intricate data models for optimal storage and retrieval, supporting high throughput and low latency queries. Collaboration across departments, with engineers, product, and research teams, will be key to solving complex, high-scale problems. You will work with both structured and unstructured data sources, building performant functionality on top of them. Additionally, you will gain exposure to AI/ML and all parts of the codebase through team discussions. Your expertise will shape our engineering best practices and contribute to our company culture as we grow.
We look for candidates with extensive experience in web development, microservices architecture, and SQL development, along with deep knowledge of database internals and query optimization. Proficiency in programming languages like Python, Go, or Java is essential. Experience with NoSQL and relational databases, strong data ingestion fundamentals, and a robust testing ethos are also required.
What you’ll do:
What you’ll do:
Strong candidates may also have experience with some of the following:
What you can expect from us:
The estimated annual base salary for this position is between $180,000-$220,000.*
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.
*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.
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.
Yearly based
San Jose, California, United States