杰出软件工程师，推荐系统

Meta（Meta Platforms）岗位：Distinguished Software Engineer, Recommendation Systems (AI/ML) Responsibilities

Apply AI-native workflows and tooling as a force multiplier to accelerate AI/ML advancement in the product and expand the scope of what engineering teams can deliver

Define new metrics and data-driven decision-making principles for long-term ML projects, connecting operational metrics to organization-level business outcomes

Proactively identify systemic reliability, privacy, and integrity risks in ML systems and build robust technical safeguards, partnering with compliance and policy teams to ensure responsible AI deployment

Mentor engineers across the organization on applied AI/ML, debugging complex product problems, and building production-grade AI systems, establishing yourself as a sought-after technical coach and technical leader

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

8+ years of experience in applied AI/ML with a track record of delivering measurable product outcomes

Experience defining technical strategy and gaining organizational alignment across multiple engineering teams and cross-functional stakeholders

Experience communicating complex ML system designs and trade-offs in writing to both technical and non-technical audiences, including executive leadership

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience building AI-native developer tooling or automation that measurably accelerates ML experimentation and production improvement cycles

Experience applying ML to multiple product domains such as ranking and recommendation, generative AI, computer vision, or natural language processing

Track record of industry-recognized contributions to machine learning applications, such as publications and open-source projects

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, harness engineering, agent orchestration) and staying current with emerging AI technologies

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.

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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.

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Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

8+ years of experience in applied AI/ML with a track record of delivering measurable product outcomes.