an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates Facebook, Instagram, Threads, and WhatsApp
Software Engineer – Language (Technical Leadership)
Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on Language related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer – Language (Technical Leadership) Responsibilities
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Apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta’s products and experiences
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Assist in goal setting related to project impact, AI system design, and ML excellence
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Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
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Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
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Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
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Mentor other AI Engineers & improve the quality of AI work in the broader team
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Drive the team’s goals and technical direction to pursue opportunities that make your larger organization more efficient
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Effectively communicate complex features and systems in detail
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Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency
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Understand industry & company-wide trends to help assess & develop new technologies
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Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
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Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Minimum Qualifications
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Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI
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Experience developing language algorithms or language infrastructure in C/C++ or Python
Preferred Qualifications
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Experience in deep learning and PyTorch
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Experience with distributed systems or on-device algorithm development
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Experience contributing to AI Publications
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Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
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Experience in driving large cross-functional/industry-wide engineering efforts
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Significant experience in mentoring/influencing senior engineers across organizations
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Research Scientist Intern, AI Core Machine Learning (PhD)
As a Channel Partner Engineer for Llama, you will be responsible for executing partner integrations and enablement projects in Government related projects, gathering and analyzing partner requirements, and providing technical support for our AI model deployments. You will work closely with Meta’s policy team, government agencies, and government contractors to ensure successful implementation and optimization of Llama solutions across various partner infrastructures.
Partner Engineer, Government Responsibilities
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Execute channel partner integrations and enablement projects, ensuring timely and high-quality deliverables
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Gather and analyze partner requirements, translating them into technical specifications and implementation plans
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Develop and maintain technical documentation for partner deployments, including integration guides and best practices
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Troubleshoot and resolve partner-specific issues, providing timely and effective support
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Collaborate with cross-functional teams to implement partner solutions and drive continuous improvement
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Assist in the optimization of Llama model deployments within partner infrastructures
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Contribute to the development of scalable solutions for partner enablement
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Participate in partner-facing technical discussions and presentations
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Support the creation and maintenance of business function-specific evaluations and benchmarks
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Collect and document technical feedback from partners and their customers
Minimum Qualifications
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Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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10+ years of experience in software engineering, partner engineering, or related technical roles
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Proven understanding of AI/ML technologies, cloud infrastructures, and enterprise software deployments
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Experience with partner integrations and technical requirement gathering
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Experience working with the government and government agencies ideally in AI/ML deployments
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Effective problem-solving skills and experience to troubleshoot complex technical issues
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Proven communication skills, with the experience to explain technical concepts to both technical and non-technical audiences
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Proficiency in at least one programming language (e.g., Python, Java, C++)
Preferred Qualifications
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Experience working with LLaMA or other large language models
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Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform
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Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies
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Knowledge of data privacy and security best practices in AI/ML deployments
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Experience with performance tuning and optimization of AI models
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Government experience, particularly in the defense and/or intelligence sectors
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Existing security clearance
Research Scientist Intern, AI Core Machine Learning (PhD)
Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
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Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques
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Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy
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Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
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Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
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Publish research results and contribute to research that can be applied to Meta product development
Minimum Qualifications
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Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field
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Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
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Experience with Python, C++, C, Java or other related languages
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Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications
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Intent to return to degree program after the completion of the internship/co-op
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Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar
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Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
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Experience building large-scale machine learning systems and training with large datasets
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Experience communicating complex research in a clear, precise, and actionable manner
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Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience working and communicating cross functionally in a team environment
Partner Engineer, Government
As a Channel Partner Engineer for Llama, you will be responsible for executing partner integrations and enablement projects in Government related projects, gathering and analyzing partner requirements, and providing technical support for our AI model deployments. You will work closely with Meta’s policy team, government agencies, and government contractors to ensure successful implementation and optimization of Llama solutions across various partner infrastructures.
Partner Engineer, Government 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 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
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Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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10+ years of experience in software engineering, partner engineering, or related technical roles
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Proven understanding of AI/ML technologies, cloud infrastructures, and enterprise software deployments
-
Experience with partner integrations and technical requirement gathering
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Experience working with the government and government agencies ideally in AI/ML deployments
-
Effective 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
-
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
-
Government experience, particularly in the defense and/or intelligence sectors
Existing security clearance
