Partner Engineer, Scaled Ops AI Acceleration Team

Meta; City of Westminster; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading internet company is seeking an experienced Partner Engineer to join their Scaled Operations AI Accelerator Team. In this role, you will design and develop AI-powered automation solutions, optimizing operational processes at scale. Candidates should have extensive experience in software engineering and machine learning, with strong skills in collaboration and communication. This position offers an opportunity to work on impactful projects within a dynamic environment.

Qualifications

• 8+ years of experience in software engineering or related fields.
• 6+ years in machine learning, AI, or related technical area.
• Experience communicating with technical and business audiences.

Responsibilities

• Design and maintain AI-powered automation solutions.
• Prototype and implement solutions for efficiency.
• Collaborate to identify and deliver automation opportunities.

Skills

Software engineering

Machine learning

Data analysis (SQL)

Collaboration in cross-functional teams

Education

Bachelor's degree in Computer Science or related field

Tools

Python

REST API

JavaScript/React

PyTorch

Job description

Meta is seeking experienced Partner Engineers to join the Scaled Operations AI Accelerator Team. This team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Partner Engineer, 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

Partner Engineer, Scaled Ops AI Acceleration Team Responsibilities:

• 1. 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

Qualifications (Required)

• 11. 8+ years of experience in software engineering, support engineering, reliability engineering or related
• 12. 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
• 13. Bachelor's degree in Computer Science, Computer Engineering, related technical field, or equivalent experience
• 14. Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
• 15. Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
• 16. Experience in communicating with technical and business audiences and creating technical documentation
• 17. Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
• 18. Experience overseeing and guiding contractor workers and/or vendor workers in technical solution delivery
• 19. Demonstrated collaborate in cross-functional teams and deliver results in a demanding environment

Preferred Qualifications

• 20. Experience with Meta's internal tools and platforms
• 21. Familiarity with Global Operations processes and workflows
• 22. Advanced degree in Computer Science, Engineering, or related field
• 23. Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners

Industry

• Internet