Research Engineer

Factory

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of AI/ML engineering experience, with a degree in Computer Science, Engineering, or a related field
  • Proficient in using LLMs and applying AI techniques to solve complex problems
  • Ability to manage ambiguous projects independently from inception to deployment
  • Strong communication skills for conveying technical ideas to various stakeholders
  • Familiarity with software development lifecycle is a plus.
  • Must be willing to work onsite in San Francisco, 5 days a week.

Responsibilities

  • Design and develop AI-driven systems to enhance core capabilities
  • Collaborate with teams to integrate the latest AI research into customer solutions
  • Prototype and refine AI functionalities based on user feedback
  • Identify and address challenges related to product stability and scalability
  • Contribute to an innovative and dynamic work environment

Benefits

  • Emphasis on professional growth through exposure to cutting-edge AI and ML technologies
  • Dynamic and collaborative work culture with multidisciplinary teams
  • Opportunities for rapid prototyping and real-world impact
  • Based in a vibrant city with good transport access
Full Job Description
Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations.

What you will do and achieve:
  • Design, develop, and deploy AI-driven agentic systems that enhance Factory's core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture.
  • Collaborate with product and engineering teams to incorporate 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 our platform reliably support large-scale operational demands


Qualifications:
  • 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.
  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).

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