About this opportunity
Meta lists this Software Developer, Scaled Ops AI Acceleration Team opportunity in menlo park, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Meta is seeking experienced Software Developer to join the Scaled Operations AI Accelerator Team. This small team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Software Developer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and managing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations.
Software Developer, Scaled Ops AI Acceleration Team Responsibilities:
Full stack development. Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes
Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies
Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needs
Apply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systems
Manage and guide contractor workers and/or vendor workers in the development and delivery of technical solutions, ensuring quality, compliance, and alignment with team objectives
Ensure all solutions adhere to Meta’s security, privacy, and compliance requirements
Communicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiences
Stay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvement
Contribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
Track, analyze, and report on key metrics and business impact of automation initiatives
Minimum Qualifications:
8+ years of experience in software engineering, support engineering, reliability engineering or related
6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical field
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor’s degree in Computer Science, Computer Engineering, related technical field, or equivalent experience
Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
Experience in communicating with technical and business audiences and creating technical documentation
Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
Experience supporting and guiding contractor workers and/or vendor workers in technical solution delivery
Demonstrated collaborate in cross-functional teams and deliver results in a demanding environment
Preferred Qualifications:
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with Meta’s internal tools and platforms
Familiarity with Global Operations processes and workflows
Advanced degree in Computer Science, Engineering, or related field
Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Aff… we do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
$171,000/year to $240,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Worksite address
menlo park, CA, 94029, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.