Senior AI Engineer

Experteer Overview As a Senior AI Software Engineer at LinkedIn, you own end-to-end ML systems powering core products at scale. You design, train, and deploy recommender and classification models, optimizing experiments and GPU-backed inference. You lead a significant workstream with cross-team alignment, mentoring, and delivering measurable value, while maintaining reliable production systems. This role offers ownership, growth, and the chance to shape AI at a global scale. Compensation / Benefits * Own end-to-end AI workstreams and ship model-based systems with measurable impact * Design and implement production ML systems powering core LinkedIn products * Run experiments to prove efficacy and manage large GPU fleets for low-latency inference * Mentor junior engineers and align technical direction across teams * Operate and debug production systems, addressing significant regressions * Collaborate cross-functionally to translate product requirements into technical solutions Tasks * 2+ years experience in software design, development, and algorithm-related solutions * 2+ years experience with Java, Python or similar languages * 2+ years experience with machine learning, data mining, information retrieval, or NLP * Bachelor in Computer Science, Machine Learning or related field; advanced degrees preferred * Experience with PyTorch or similar DL frameworks * Experience with Spark for data manipulation Key requirements * health and wellness programs * time away/paid time off * compensation packages including bonus and stock * flexible/inclusive working arrangements * career growth and mentorship * competitive benefits

• 2+ years experience in software design, development, and algorithm-related solutions * 2+ years experience with Java, Python or similar languages * 2+ years experience with machine learning, data mining, information retrieval, or NLP * Bachelor in Computer Science, Machine Learning or related field; advanced degrees preferred * Experience with PyTorch or similar DL frameworks * Experience with Spark for data manipulation Key requirements * health and wellness programs * time away/paid time off * compensation packages including bonus and stock * flexible/inclusive working arrangements * career growth and mentorship * competitive benefits