软件开发工程师，规模化运营AI加速团队

Meta（Meta Platforms）岗位：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

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

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

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 developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Take the first step toward a rewarding career at Meta.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

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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, A