Join Factory as a Research Engineer to design and integrate advanced AI and ML capabilities for software organizations.
Posted by employer 2 years ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Design, develop, and deploy AI-driven agentic systems that enhance Factory’s core AI capabilities.
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Research Engineer at Factory focuses on designing and deploying AI-driven systems that enhance the company's core capabilities, particularly in areas like code generation and user experience. The position requires expertise in AI/ML, especially with large language models, and a strong background in software engineering to tackle complex problems. Ideal candidates are self-motivated professionals with at least two years of relevant experience, capable of navigating ambiguous projects and communicating technical concepts effectively. Factory emphasizes innovation and collaboration, making it a fitting environment for those eager to contribute to cutting-edge AI solutions.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Factory's career page.
- Factory has 55 other open roles including Solutions Engineer, Mid-Market, SF, Solutions Engineer, Field Partner Sales Leader, US - Central/West.
- 5148 active AI/ML roles on Joblaze right now.
- 126 active LLMs roles on Joblaze right now.
- 15 active Agentic systems roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- Is the Research Engineer role remote?
- No — this is an on-site role in San Francisco, CA.
- How much experience is required?
- At least 2 years of relevant experience for this Research Engineer role.
- Where is the role based?
- Factory is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Agentic systems, LLMs.
- What seniority level is this role?
- Factory targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer role at Factory.
From the original posting
About the Role
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.
This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)