Description:
Fully remote
ET or PT working hours
$61-81/hr on W2
13 week contract with possible extension
Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data Science or Related Field, relevant years of experience
Summary:
Meta is seeking a skilled Software Engineer to join our Interview Experience team within Recruiting Products, part of the larger People Products pillar under Enterprise Engineering. You will contribute to Meta's hiring infrastructure that supports 463,000 interviews annually. You will work with cutting-edge AI technologies and collaborate closely with cross-functional partners to shepherd products through the entire development lifecycle, from ideation to launch, directly impacting how Meta discovers and hires top talent globally.
Responsibilities
Develop and enhance AI-powered interviewing tools and automation systems that optimize Meta's hiring infrastructure
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements
Work with cross-functional partners including Product Managers, Designers, and Data Scientists to deliver end-to-end product experiences
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity
Contribute to the expansion of interview transcription capabilities and implementation of AI quality checker systems
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions
Write clean, maintainable code following Meta's engineering best practices and participate in code reviews
Debug and resolve technical issues across the interview experience stack to maintain system reliability
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#
Experience with scripting languages including Python, PHP, or JavaScript
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks
Experience collaborating with cross-functional teams in fast-paced, iterative development environments
Strong problem-solving skills and ability to work independently on complex technical challenges
Excellent communication skills and ability to work effectively in a team-oriented environment
Preferred Qualifications
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants
Familiarity with GraphQL and modern API design patterns
Experience with React ecosystem including Relay for data fetching
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications
Experience building scalable web applications and distributed systems
Background in recruiting technology, HR systems, or enterprise productivity tools
Experience with Meta's internal frameworks and development tools
Demonstrated experience shipping products through the complete development lifecycle from ideation to launch
Experience with interview scheduling systems, automation platforms, or workflow management tools
Knowledge of privacy-aware development practices and data handling for recruiting systems
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
The way we have our loop designed right now is 3 rounds:
1) AI Enabled SWE Coding (Candidates will be coding their solutions in CoderPad, and will have access to an LLM within CoderPad only. Outside LLMs are not allowed).
2) More conventional SWE Coding (Candidates will be coding their solutions in CoderPad, and will NOT have an access to an LLM (inside or outside of CoderPad).
3) System Design + Behavioral (No LLM assistance permitted).
Coding Language is really up to them (But Python, Javascript, Java, C# or something of the sort would be more than acceptable)
General feedback from our folks, is that the candidates are either a) using unauthorized outside assistance (either via a second monitor, or another tab, etc) or b) trying to brute-force their way through the problem without the LLM assistant when one is available and ok for them to use.
Generally, we want to see folks that are familiar with using LLMs to accelerate their development, meaning they understand the problem and what is being asked of them, they're able to leverage LLM (when allowed) to make progress and continue to refine and iterate on their solution while also being able to understand what the LLM is proposing, and ultimately the algorithm that it implemented (alongside any edge cases)
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