About Factory

Factory is on a mission to bring autonomy to software engineering. To do that, we are building AI systems called Droids that accelerate the engineering output of enterprise software organizations. Droids automate tedious but essential processes in software development like code review, documentation, test creation, as well as end-to-end coding tasks.

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Some reasons to join Factory:

• We’re not just a demo: We are deploying the most advanced agentic AI systems that exist to solve high impact problems for top-tier enterprise software organizations, not posting demos on twitter.
• We’re growing fast: The Factory platform has incredible traction. We have consistent 150%+ MoM growth and a waitlist with thousands of organizations.
• We’re world-class: We’re hiring the best technical and non-technical talent. Our team members come from organizations like Google Research, Stripe, Meta, Uber AI, Hugging Face, Nuro, etc.
• We’re backed by the best: We’ve raised over $20 million from the best investors in the world including Sequoia Capital, Lux Capital, Ali Ghodsi, Clem Delangue, Gokul Rajaram, and more.
• We’re compensating well: Top of market cash & equity compensation.

Responsibilities

Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation.

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What you will do and achieve:

• Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities
• Work with product and engineering teams to integrate emerging AI research findings into practical, customer-centric solutions
• Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises.
• Take the initiative in identifying and addressing product stability and scalability challenges, ensuring Droids reliably support large-scale operational demands.
• Lead the exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of our AI systems

Qualifications

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• 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
• Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
• Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.
• Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.
• Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.