Software Developer, Scaled Ops AI Acceleration Team

Meta; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Meta is seeking an experienced Software Developer to join the Scaled Operations AI Accelerator Team in London. You will design, develop, and deploy AI-powered automation solutions that improve operational processes and drive efficiency at scale.

You will also oversee contractor and vendor workers to deliver impactful automation projects. The role emphasizes full-stack development across backend, frontend, and data engineering, collaboration with product managers, and staying current with AI/ML

Qualifications

• 8+ years of experience in software engineering, support engineering, reliability engineering or related.
• 6+ years in machine learning, NLP, data mining, AI infrastructure, or related technical field.
• Bachelor’s degree in CS, CE or related field, or equivalent experience.
• Experience with full web stack, REST API, Python, PHP/Hack, JavaScript/React, and debugging.
• Experience with fine-tuning PyTorch models and at least one LLM such as Llama, GPT, Claude, Falcon.

Responsibilities

• Full stack development: design, deploy, and maintain AI-powered automation solutions.
• Prototype, iterate, and implement AI-powered solutions to improve efficiency.
• Collaborate with process owners, architects, product managers, and cross-functional teams.
• Apply full-stack engineering to build robust, scalable systems.
• Manage and guide contractor/vendor workers in solution delivery.
• Ensure solutions adhere to security, privacy, and compliance requirements.
• Communicate technical concepts and project status to technical and non-technical audiences.
• Stay current with AI/ML advances and experiment with new tools and approaches.
• Develop playbooks, reusable templates, and best practices to scale automations.
• Track, analyze, and report on key metrics and business impact of automation initiatives.

Skills

Full stack development

Python

JavaScript/React

Machine learning

Data engineering

SQL

Education

Bachelor’s degree in Computer Science or related field

Advanced degree

Tools

REST API

PyTorch

Docker

Kubernetes

Job description

Summary

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.

Required Skills

Software Developer, Scaled Ops AI Acceleration Team Responsibilities:

1. Full stack development. Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes
2. Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies
3. Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needs
4. Apply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systems
5. 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
6. Ensure all solutions adhere to Meta’s security, privacy, and compliance requirements
7. Communicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiences
8. Stay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvement
9. Contribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
10. Track, analyze, and report on key metrics and business impact of automation initiatives

Minimum Qualifications

1. 8+ years of experience in software engineering, support engineering, reliability engineering or related
2. 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
3. Bachelor’s degree in Computer Science, Computer Engineering, related technical field, or equivalent experience
4. Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
5. Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
6. Experience in communicating with technical and business audiences and creating technical documentation
7. Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
8. Experience supporting and guiding contractor workers and/or vendor workers in technical solution delivery
9. Demonstrated collaborate in cross-functional teams and deliver results in a demanding environment

Preferred Qualifications

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
4. Experience with Meta’s internal tools and platforms
5. Familiarity with Scaled Operations processes and workflows
6. Advanced degree in Computer Science, Engineering, or related field
7. Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners

Industry: Internet