BURLINGAME, CAPosted 17 days ago

Job summary

• Job post source

  This job is directly from Meta

• Job overview

  The Software Engineer (Technical Leadership) - AI Specialist at Meta leads AI research and development focused on large language models to enhance Meta's products and experiences.

• Responsibilities and impact

  The role involves advancing AI research, leading and collaborating on complex projects, influencing research communities, designing end-to-end systems, and applying machine learning knowledge to product development.

• Compensation and benefits

  The position offers a salary range of $213,000 to $293,000 per year, plus bonus, equity, and benefits including health insurance and retirement plans.

• Experience and skills

  Candidates must have a Bachelor's degree or equivalent, Ph.D. with publications in AI or related fields, experience leading AI research teams, programming skills in Python, C/C++, or C#, and work authorization; preferred qualifications include 4+ years post-PhD experience and first-author publications at top AI conferences.

• Career development

  Meta offers opportunities to work on cutting-edge AI research and product development, with potential for leadership roles and interdisciplinary collaboration.

• Work environment and culture

  Meta values diversity, inclusion, and equal opportunity, providing accommodations for disabilities and fostering a collaborative, innovative work environment.

• Company information

  Meta is a leading technology company focused on social connection and immersive experiences, known for products like Facebook, Instagram, and WhatsApp, advancing towards augmented and virtual reality technologies.

• Team overview

  The candidate will join Meta's Generative AI organization, collaborating with cross-functional partners and research teams to apply AI innovations to products.

• Unique job features

  The role uniquely combines advanced AI research with practical product implementation at a large-scale technology company, offering involvement in influential publications and cutting-edge projects.

Company overview

Meta, formerly known as Facebook, is a leading technology company specializing in social media, virtual reality, and digital advertising. They generate revenue primarily through advertising on platforms like Facebook, Instagram, and WhatsApp, leveraging user data to offer targeted ads. Founded by Mark Zuckerberg in 2004, the company rebranded to Meta in 2021 to reflect its focus on building the metaverse, a virtual shared space. Key historical moments include the acquisition of Instagram in 2012 and WhatsApp in 2014, significantly expanding their user base and market influence.

How to land this job

• Position your resume to highlight your expertise in large language models (LLMs) and your ability to translate cutting-edge AI research into scalable product solutions, emphasizing your leadership in AI research projects and technical teams.

• Emphasize your publication record in top AI conferences, your experience in cross-functional collaboration, and your proficiency in Python, C/C++, or C# development alongside your ability to lead AI-driven modeling and production deployments.

• Apply through multiple channels including Meta's official careers page and LinkedIn to maximize your application visibility and ensure your resume reaches the right recruiters and hiring managers.

• Connect on LinkedIn with researchers and engineers in Meta's Generative AI division; open conversations by referencing recent Meta AI publications, commenting on ongoing research initiatives, or expressing enthusiasm for Meta's advancements in immersive AI technologies.

• Optimize your resume for ATS by incorporating keywords such as 'generative AI,' 'large language models,' 'machine learning system design,' 'technical leadership,' and 'cross-functional collaboration' to ensure it passes automated screenings effectively.

• Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms to apply through, and discover relevant Meta AI professionals to network with, allowing you to focus your energy on preparing for interviews and deepening your AI expertise.