Job Description
Qualifications
We are looking for strong engineers who have a background in generative AI and NLP/NLU, with experience in areas like language model evaluation; LLM alignment, synthetic data generation; LLM fine-tuning; and retrieval augmented generation (RAG)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of industry, academic or government laboratory experience
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Industrial experience in generative AI and LLM
Meta participates in the E-Verify program in certain locations, as required by law
Benefits
$85.10/hour to $251,000/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
Responsibilities
Design methods, tools, and infrastructure to push forward the state of the art in large language models and their applications
Apply AI technologies to develop and optimize Meta’s products and services
Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Work with a large and globally distributed team
Stay up-to-date with the latest developments in the field of generative AI
Job description
Meta is seeking a Software Engineer to join our Meta AI foundation team. We are responsible for building foundations for developing and optimizing products based on Large Language Models (LLMs). We are looking for strong engineers who have a background in generative AI and NLP/NLU, with experience in areas like language model evaluation; LLM alignment, synthetic data generation; LLM fine-tuning; and retrieval augmented generation (RAG).
Software Engineer, Language - Generative AI Responsibilities:
• Design methods, tools, and infrastructure to push forward the state of the art in large language models and their applications.
• Apply AI technologies to develop and optimize Meta’s products and services.
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Work with a large and globally distributed team.
• Stay up-to-date with the latest developments in the field of generative AI.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 5+ years of industry, academic or government laboratory experience.
• Experience with developing machine learning models at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Industrial experience in generative AI and LLM.
Preferred Qualifications:
• A PhD in AI, computer science, or related technical fields.
• 7+ years of industry, academic or government laboratory experience.
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, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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 [email protected].
$85.10/hour to $251,000/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.
We are looking for strong engineers who have a background in generative AI and NLP/NLU, with experience in areas like language model evaluation; LLM alignment, synthetic data generation; LLM fine-tuning; and retrieval augmented generation (RAG)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of industry, academic or government laboratory experience
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Industrial experience in generative AI and LLM
Meta participates in the E-Verify program in certain locations, as required by law
Benefits
$85.10/hour to $251,000/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
Responsibilities
Design methods, tools, and infrastructure to push forward the state of the art in large language models and their applications
Apply AI technologies to develop and optimize Meta’s products and services
Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Work with a large and globally distributed team
Stay up-to-date with the latest developments in the field of generative AI
Job description
Meta is seeking a Software Engineer to join our Meta AI foundation team. We are responsible for building foundations for developing and optimizing products based on Large Language Models (LLMs). We are looking for strong engineers who have a background in generative AI and NLP/NLU, with experience in areas like language model evaluation; LLM alignment, synthetic data generation; LLM fine-tuning; and retrieval augmented generation (RAG).
Software Engineer, Language - Generative AI Responsibilities:
• Design methods, tools, and infrastructure to push forward the state of the art in large language models and their applications.
• Apply AI technologies to develop and optimize Meta’s products and services.
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Work with a large and globally distributed team.
• Stay up-to-date with the latest developments in the field of generative AI.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 5+ years of industry, academic or government laboratory experience.
• Experience with developing machine learning models at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Industrial experience in generative AI and LLM.
Preferred Qualifications:
• A PhD in AI, computer science, or related technical fields.
• 7+ years of industry, academic or government laboratory experience.
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, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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 [email protected].
$85.10/hour to $251,000/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.
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer| Language | Generative AI position is now open for candidates interested in the Software Developer Jobs sector. This role in Menlo Park offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
