Demo

Software Engineer, Vector Search

Coactive AI
San Jose, CA Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/16/2025

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 a Software Engineer working at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML platform. As a specialist in the area of vector databases, your expertise will guide and refine how we leverage this technology in our research and development and in our product offerings. You will work closely with Research Scientists, ML Engineers, and Software Engineers to optimize how we apply vector databases to our ML challenges, and how we configure, deploy, and manage them in production.

What you’ll do :

  • Design, implement, and maintain scalable vector database solutions to support our ML use cases.
  • Collaborate with ML Engineers and Platform Engineers to plan and optimize how we implement similarity and semantic search.
  • Implement observability tooling and practices appropriate to assessing ML Ops across the platform.
  • Build scalable and resilient ML infrastructure using a combination of managed services and Cloud Native tooling.

What we're looking for :

  • Bachelor's or Master’s degree in Software Engineering, Mathematics, Computer Science or a related field.
  • 5 years of experience and proficiency in programming languages such as C , Java or Python.
  • A strong understanding of how vector search strategies are implemented.
  • Experience deploying and operating vector databases (e.g., Milvus, Pinecone, pgvector, etc.) in production.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
  • Strong problem-solving skills and attention to detail.
  • Preferred Qualifications :
  • Familiarity with Multimodal AI.
  • Experience with model interpretability and explainability tools.
  • What you can expect from us :

    This is a hybrid position based in San Jose, California, or San Francisco, 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 :

  • Equity grants
  • 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.
  • 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.

  • 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.
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