- Lead a team building full stack applications that use foundational AI models
- Architect client-side and server-side components
- Manage and advance the data pipelines ingesting video, audio, and image data
- Plan and prioritize features and user stories
- Hire and mentor software engineers
- Manage and maintain relational and NOSQL database systems
- Ensure quality through testing and code reviews
- Integrate with third-party services and data sources
- Drive roadmaps, business metrics, and OKRs
- Collaborate with product and research teams
- Lead a team of top-performing engineers in an ambiguous and evolving environment
- 5+ years engineering management experience
- Degree in CS or related technical field
- Experience with data systems and full stack development
- Excellent leadership and communication skills
- Experience in recruiting, scaling, and retaining engineering talent
- Passionate about building a culture of engineering excellence
- Experience building delightful experiences for productivity tools for both enterprise and consumer customers
- Experience collaborating closely with sales, security, and product to deliver on customer needs
- Experience partnering with product and design teams in a startup environment
- Experience with React, TypeScript, Python, etc.
- Fluent in one or more programming languages, e.g. Python, Go, Java (we use Python)
- Experience with containerization and orchestration tools, e.g. Docker, Kubernetes, etc.
- Interest in coaching and leading engineers
- Commitment to transparency and accountability
- Proven experience in a B2B environment
- Previous MLOps experience is a bonus
- Proven experience with audio, video, and image data is a bonus
- Location: San Jose, California (hybrid, with three days in office)
- Market leading equity grants
- 100% medical, dental, & vision coverage for you
- Medical, dental, & vision partially covered for your dependents
- Unlimited PTO
- Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.
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Engineering lead - San Jose, United States - Coactive AI
Description
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 looking for an Engineering Leader to lead a team that is building interfaces and APIs to interact with AI models - while upholding high safety and ethical standards. You will manage a team of software engineers building core components of our API and client libraries. Responsibility for delivering timely and high quality code that delights our users, without being involved in training the underlying models, is integral to this position. Your core objective is to bolster our data-intensive AI services and applications, which allows our customers to adopt AI for unstructured data in a quick and seamless process.
What you'll do:
At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:
*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.