Instabase

Software Engineer, Machine Learning (Senior Level)

29 November 2024
Apply Now
Deadline date:
£67000 - £124000 / year

Job Description

At Instabase, we’re passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry.  With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.

Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.

With offices in San Francisco, New York, London and Bengaluru, Instabase is a truly global company. We are people-first, and we’ve built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.

Our Engineering Team architects the underlying platform, core services, infrastructure, dev toolkits, core algorithms, machine learning models, packaged end-user apps, and an AI marketplace. Instabase engineers are excited to solve hard problems for complex organizations and are self-starters from day one.

At Instabase, we develop intuitive products that enable large enterprises to tackle their unstructured data problems. As a senior product backend engineer, you will design and develop the scalable backend platforms that power our interactive user applications. Advances in generative AI are creating new ways for humans to interact with data, and here at Instabase, we are working to build intuitive product experiences around these advances. 

Come join us as we turn the worlds unstructured data into insights instantly!

What you will do: 

  • Design and build robust, scalable backends that serve document and other data to the product frontend.
  • Dive into the complexities of real-time data processing and develop strategies to ensure that our systems can efficiently handle the dynamic outputs of generative AI models.
  • Work with product managers and designers to understand user pain points and create the best product experience.
  • Collaborate with data engineers to design and maintain robust data pipelines.
  • Be the tech lead for your projects, plan project execution and timeline, and work closely with a team of other engineers.
  • Interface with other engineering teams to ensure the features you own are integrated with downstream and upstream systems.
  • Mentor junior engineers on engineering best practices and technical design.
  • Troubleshoot production issues and contribute to improving our platform stability.

About You:

  • You have 5+ years of industry experience as a backend software engineer or Machine learning engineer.
  • Prior experience in developing or working with AI and machine learning technologies is mandatory.
  • You want to build a user-facing product and care deeply about user enablement.
  • You itch to ship features quickly into the hands of users and hear their feedback.
  • You love thinking about how your component fits into the broader system and can design with complex frameworks in mind

Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.