Partner Engineer, Llama

Meta; Seattle (WA); On-site; USD 117,000 - 173,000; Full time

Job summary

Meta is seeking a Partner Engineer to join the Llama team, focusing on supporting channel partnerships and developing scalable AI solutions. The role emphasizes innovative engineering practices and collaborating with partners to enhance AI model deployment within their infrastructures.

Benefits

Equity

Comprehensive benefits

Qualifications

• Currently pursuing or completed a Bachelor's degree in a relevant technical field.
• 3+ years of experience in software engineering or partner engineering.
• Ability to explain technical concepts to varied audiences.

Responsibilities

• Support partner enablement projects ensuring quality outcomes.
• Gather and translate partner requirements into actionable plans.
• Maintain technical documentation for partner integrations.

Skills

Problem-solving

Communication

AI/ML understanding

Cloud infrastructure knowledge

Programming (Python, Java, C++)

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Cloud

Google Cloud AI

Job description

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This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$117,000.00/yr - $173,000.00/yr

Meta is committed to advancing open source AI and empowering partners to leverage our models to their fullest extent. As a Channel Partner Engineer on the Llama team, you will play a crucial role in supporting various projects and partners. The work you do in this role may include: working directly with Llama Channel Partners, supporting and leading presenting engagements, working with internal teams and Partners to gather model feedback, working on model evaluations, developing proofs of concept, and/or developing examples, recipes, and evals. You will develop scalable solutions and enhance our partner engineering processes, collaborating closely with cross-functional teams to ensure the success of our AI models across broad partner infrastructures.

Partner Engineer, Llama Responsibilities:

• Support and execute enablement projects for partners and developers, ensuring timely and high-quality deliverables.
• Gather and analyze partner requirements, translating them into technical specifications and implementation plans.
• Develop and maintain technical documentation for partner deployments, including integration guides and best practices.
• Troubleshoot and resolve partner-specific issues, providing timely and effective support.
• Collaborate with cross-functional teams to implement solutions and drive continuous improvement.
• Assist in the optimization of Llama model deployments within partner infrastructures.
• Contribute to the development of scalable solutions for partner enablement.
• Participate in partner-facing technical discussions and presentations.
• Support the creation and maintenance of business function-specific evaluations and benchmarks.
• Collect and document technical feedback from partners and their customers.
  
  

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 3+ years of experience in software engineering, partner engineering, or related technical roles
• Demonstrated experience in understanding AI/ML technologies, cloud infrastructures, and enterprise software deployments
• Proven problem-solving skills and experience in troubleshooting complex technical issues
• Demonstrated communication skills, with the experience to explain technical concepts to both technical and non-technical audiences
• Proficiency in at least one programming language (e.g., Python, Java, C++)
  
  

Preferred Qualifications:

• Experience building Gen AI Apps
• Experience working with businesses on AI/ML deployments
• Experience working with Llama or other large language models
• Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform
• Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies
• Knowledge of data privacy and security best practices in AI/ML deployments
• Experience with performance tuning and optimizing AI models
  
  

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 [e-mail].

$117,000/year to $173,000/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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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