AI Jobs

This Product Manager will define and guide the future of how developers build agentic applications on OpenAI's API, setting strategic priorities and roadmap improvements while balancing user needs, safety, and technical innovation. The role requires deep technical acumen, customer empathy, and the ability to collaborate closely with research and engineering teams to translate complex problems into impactful product solutions.

This role leads and scales strategic partnerships across APAC to expand OpenAI's distribution and accelerate product adoption for consumer and B2B offerings. The ideal candidate demonstrates strong commercial judgment, regional market fluency, and the ability to collaborate with product teams to translate opportunities into scalable partnership models.

Forward Deployed Engineers lead end-to-end deployments of frontier AI models in production with strategic customers, owning discovery through production rollout and measuring success via adoption and workflow impact. Required skills include full-stack system design, technical leadership, customer collaboration, and the ability to translate research breakthroughs into scalable production systems.

This role involves conducting deep learning research with a focus on Reinforcement Learning and Large Language Models at Hewlett Packard Labs. The position requires extensive experience in machine learning research and contributions to cutting-edge AI development.

This role involves analyzing data and building statistical models to support Amazon Business's new business and new seller initiatives, while collaborating with cross-functional teams to translate business questions into actionable insights. Key skills include proficiency in Python, SQL, R, machine learning, statistical analysis, data modeling, and benchmarking to ensure data quality and infrastructure development.

This role involves analyzing historical data for trends and applying statistical and machine learning methods to solve complex business problems through experimentation and system optimization. Required skills include proficiency in Python, R, SQL, and statistical analysis, with expertise in experiment design and machine learning methodologies.

This role involves designing and managing enterprise data models while collaborating with stakeholders on data strategy and ensuring compliance with governance standards. Required expertise includes data modeling methodologies (Data Vault 2.0, Kimball, Inmon), orchestration tools (Apache Airflow, DBT), cloud platforms (Snowflake), and modern data stack practices (ELT/ETL, CI/CD).

This role involves leading data transformation programs, designing data operating models, and developing data strategies while integrating generative AI into business models for enterprise clients. Key skills include business analytics, data management, consulting expertise, and the ability to mentor teams while maintaining stakeholder relationships.

Build POCs and prototypes with Generative AI technologies while collaborating with stakeholders to develop and deploy AI/ML applications on cloud platforms. Key skills include Python, machine learning, generative AI, AWS/Azure cloud services, SQL, and databases.

This role involves analyzing structured and unstructured data to build predictive models, design experiments, and develop real-time alerts that improve recommendation and personalization systems. Key skills include statistical modeling, A/B testing, data pipeline development, and the ability to translate complex analyses into executive insights.

Forward Deployed Engineers lead complex end-to-end deployments of frontier AI models in production with strategic customers, owning discovery, technical scoping, system design, build, and production rollout. Required skills include full-stack system development, customer collaboration, technical leadership, and the ability to translate research breakthroughs into measurable production impact.

Build cloud-based AI and machine learning solutions while collaborating with developers and product managers to deliver quality software. Requires expertise in machine learning algorithms, Python, Java, design patterns, and proficiency in code profiling and optimization.

This role involves analyzing structured and unstructured data to build statistical models and algorithms while leading data science initiatives and translating business problems into actionable insights. The consultant will leverage expertise in machine learning, NLP, LLMs, cloud platforms (AWS, Azure, GCP), and data visualization tools to drive data-driven strategies.

This role involves building and deploying data and AI applications while leading data engineering teams and coordinating customer engagements for big data projects. Key skills include data architecture, Apache Spark, Databricks, cloud platforms (AWS/Azure/GCP), and technical consulting.

This role focuses on advancing reasoning capabilities in large language models (LLMs) and agentic systems, with emphasis on identifying optimal data types and methodologies for improving LLM-based agents including browser and software engineering agents. The ideal candidate needs deep expertise in LLMs, planning algorithms, agentic reasoning, and creative problem-solving in data generation, model interaction, and evaluation.

Build and maintain critical infrastructure for OpenAI's hyperscale supercomputers, ensuring reliability during large-scale frontier model training by owning system health checks and minimizing hardware-related disruptions. The role requires expertise in Python, shell scripting, data analysis tools, and deep system-level debugging to automate monitoring and fixes across thousands of machines.

This role involves managing and growing enterprise customer relationships for ElevenLabs' AI voice technology platform, driving revenue expansion and customer success. Key skills include enterprise sales expertise, relationship management, negotiation abilities, and deep understanding of AI/technology solutions in the Spanish market.

This role involves evolving Netflix's core measurement and analytics tools by integrating cutting-edge scientific advances in pricing and measurement methodologies. The position requires expertise in experimental design, quantitative research, and machine learning frameworks like TensorFlow to drive data-driven pricing strategies.

This role involves developing AI-enabled features and working with cross-functional teams to implement generative AI solutions. Required skills include Azure, Node.js, Git, Google Cloud Platform, and .NET, with a Bachelor's degree in Computer Science, Data Science, Mathematics, or related STEM field.

This role involves working directly with customers on high-impact data science and AI deployment problems, building production tools including evaluation explorers, operator workflows, and decision-support systems. The ideal candidate excels at first-principles problem solving, experimental design, rigorous measurement, and technical execution using Python, SQL, and modern AI-assisted development tools.