Google AI Research Scientist – Immediate Hiring (Hybrid)

🏢 Google📍 Hays, KS💼 Full-Time💻 Hybrid🏭 Artificial Intelligence, Information Technology, Research💰 $150,000 - $250,000 per year

About Company

Google is a global technology leader constantly pushing the boundaries of what’s possible. Our mission is to organize the world’s information and make it universally accessible and useful. We are a company built on innovation, curiosity, and the belief that with the right tools, people can do extraordinary things. Our work in Artificial Intelligence is at the forefront of this mission, driving breakthroughs that impact billions of users worldwide and shape the future of technology. Joining Google means becoming part of a diverse, collaborative, and vibrant community dedicated to solving some of the world’s most challenging problems. We foster an environment where ideas are encouraged, experimentation is celebrated, and personal and professional growth is paramount. From search to self-driving cars, our impact is profound, and our commitment to responsible AI development is unwavering.

Job Description

Are you a visionary AI Research Scientist eager to make a profound impact on the future of artificial intelligence? Google is immediately hiring for an AI Research Scientist to join our dynamic team in a hybrid capacity, contributing to groundbreaking research and development efforts. In this role, you will be at the cutting edge of AI, exploring novel algorithms, developing innovative models, and advancing the state-of-the-art in machine learning across various domains. You will have the opportunity to define research directions, publish your findings in top-tier conferences, and see your work integrated into Google’s products and services that touch billions of lives. This position demands deep technical expertise, a relentless curiosity, and a passion for tackling complex, open-ended research challenges. You’ll work alongside world-renowned experts, leverage Google’s vast computational resources, and collaborate within a supportive environment that champions discovery and intellectual rigor. If you are driven by the desire to push the boundaries of AI, contribute to foundational research, and transform ideas into real-world applications, we invite you to explore this exceptional opportunity to shape the next generation of intelligent systems.

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Key Responsibilities

  • Conduct fundamental and applied research in artificial intelligence, machine learning, and related fields.
  • Develop and implement novel AI algorithms, models, and systems.
  • Design and execute experiments to validate research hypotheses and evaluate model performance.
  • Collaborate with engineering teams to integrate research prototypes into Google products.
  • Publish research findings in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI) and journals.
  • Mentor junior researchers and contribute to a vibrant research culture.
  • Stay current with the latest advancements in AI/ML literature and technology.
  • Communicate complex research ideas effectively to both technical and non-technical audiences.

Required Skills

  • PhD or equivalent practical experience in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 3+ years of post-PhD or industry experience in AI/ML research.
  • Strong publication record in top-tier AI/ML conferences or journals.
  • Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java).
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Deep understanding of machine learning principles, algorithms, and data structures.
  • Demonstrated ability to design, implement, and evaluate complex AI systems.

Preferred Qualifications

  • Experience with large-scale data processing and distributed computing.
  • Proven track record of leading research projects from conception to publication or product integration.
  • Experience in specific AI sub-fields such as natural language processing, computer vision, reinforcement learning, or generative models.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work effectively in a collaborative, fast-paced research environment.
  • Contributions to open-source AI/ML projects or tools.

Perks & Benefits

  • Comprehensive health, dental, and vision insurance for you and your family.
  • Generous paid time off, including vacation, sick leave, and holidays.
  • Retirement plans with company matching contributions.
  • Access to world-class learning and development resources, including internal courses and external conferences.
  • On-site amenities (where applicable) such as fitness centers, cafes, and wellness programs.
  • Employee assistance programs and mental health support.
  • Flexible work arrangements, including hybrid options.
  • Opportunities for career growth and advancement within a global technology leader.
  • Commuter benefits and transportation assistance.

How to Apply

To apply for this exciting opportunity, please click on the application link below. Ensure your resume and cover letter highlight your relevant research experience, technical skills, and publication record. We look forward to reviewing your application and exploring how your expertise can contribute to Google’s AI advancements.

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