Job Information
Meta Partner Engineering, Llama in Bellevue, Washington
Summary:
Description: As a Channel Partner Engineer at LlamaX, you will be responsible for executing channel partner integrations and enablement projects, gathering and analyzing partner requirements, and providing technical support for our AI model deployments. You will work closely with our channel partners to ensure successful implementation and optimization of LlamaX solutions across various partner infrastructures.
Required Skills:
Partner Engineering, Llama Responsibilities:
Execute channel partner integrations and enablement projects, 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 partner solutions and drive continuous improvement
Assist in the optimization of LlamaX 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:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Bachelor's degree in Computer Science, Engineering, or a related field
7+ years of experience in software engineering, partner engineering, or related technical roles
Demonstrated experience in understanding of AI/ML technologies, cloud infrastructures, and enterprise software deployments
Experience with partner integrations and technical requirement gathering
Proven experience in problem-solving skills and experience to troubleshoot complex technical issues
Proven 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:
Preferred Qualifications:
Experience working with government and enterprise clients in 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 optimization of AI models
Public Compensation:
$173,000/year to $247,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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@fb.com.
Meta
- Meta Jobs