11 days ago

Partner Engineering GenAI

Meta

On Site
Full Time
$230,000
New York, NY

Job Overview

Job TitlePartner Engineering GenAI
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$230,000
LocationNew York, NY

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Job Description

Partner Engineering GenAI at Meta

We are seeking a Partner Engineer to join Meta’s GenAI Product Partners team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a Partner Engineering GenAI, you bring in-depth experience in generative AI and associated tool stack, and will work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building relationships with partners, and identifying opportunities to grow partnerships.

Responsibilities

  • Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
  • Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet partner needs
  • Use broad range of technical and soft skills to build productive relationships with partners, and self-directed resolve complex technical and business needs
  • Use expertise and product insight to deliver high-quality project/integration/partner engagements
  • Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing product roadmap to meet the business needs
  • Build and manage working relationships with partner technical counterparts and internal cross-functional teams
  • Ship production level code, code reviews, and provide constructive feedback while quickly actioning feedback from code reviews conducted of your code
  • Create technical content, tools, and documentation to empower developers and partners
  • Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
  • Influence decision-making through presentation and dissemination of data-centric analyses
  • Bring in-depth experience in generative AI and associated tool stack, and provide consultation on domain-level projects
  • Mentor, share knowledge and promote collaboration, respect and fostering a team environment
  • Participate in interviewing and onboarding of new team members

Minimum Qualifications

  • 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning or a related field
  • Development experience in languages like Python, Java, Go, Rust, C/C++. (at least one)
  • Experience with generative AI tool stack including LLMs such as Llama, GPT, Claude, etc
  • Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions
  • Experience with cloud-based technologies, APIs, and data integration
  • Project management experience

Preferred Qualifications

  • Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
  • Proven skills in communication, analytical, collaboration, and problem-solving skills

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 Affirmative Action employer. 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 accommodations-ext@meta.com.

Key skills/competency

  • Generative AI
  • Large Language Models (LLMs)
  • Partner Management
  • Software Engineering
  • Machine Learning
  • Python
  • API Integration
  • Cloud Technologies
  • Product Roadmap Influence
  • Technical Content Creation

Tags:

Partner Engineer
Generative AI Engineer
AI/ML Engineer
Partner Management
Technical Solutioning
GenAI System Design
Product Roadmap Influence
Developer Enablement
Technical Content
Code Reviews
Relationship Building
Stakeholder Management
Strategic Partnerships
LLMs (Llama, GPT)
Python
Java
Go
Rust
C/C++
Cloud Platforms
APIs
Data Integration
Machine Learning

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How to Get Hired at Meta

  • Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in Partner Engineering, GenAI, and relevant programming languages like Python.
  • Showcase GenAI expertise: Emphasize projects with LLMs (Llama, GPT) and cloud technologies in your portfolio or resume.
  • Prepare for technical and behavioral interviews: Practice problem-solving, system design, and behavioral questions focusing on collaboration and impact.
  • Network strategically: Connect with current Meta employees on LinkedIn to gain insights and potential referrals for the GenAI team.

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