Software Engineer III Kaggle AI Machine Learning Position
3 tygodni temu
At Google, we're committed to pushing the boundaries of AI and machine learning. As a Software Engineer III on our Kaggle Research team, you'll play a critical role in shaping the future of empirical validation for AI and ML at massive scale. You'll work closely with our research scientists and engineers to design and implement software systems and tools that support the cutting edge of benchmarking and evaluation AI/ML.
Our team partners with organizations around the world to bring the most interesting and important problems from all domains and disciplines to our community. We're passionate about activating our community to create the knowledge and resources the world needs to build AI responsibly and effectively.
As a member of our team, you'll have the opportunity to collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle. You'll also work with our Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.
We're looking for a talented software engineer with a strong background in machine learning algorithms and tools, as well as experience with Large Language Models, NLP, or Generative AI. If you're passionate about AI and ML, and want to be part of a team that's shaping the future of these technologies, we encourage you to apply.
Responsibilities- Design and implement software systems and tools that support the cutting edge of benchmarking and evaluation AI/ML.
- Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.
- Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.
- Contribute to the development and deployment of new research methods and algorithms for AI and ML.
- Publish research papers and present findings at conferences and workshops.
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing.
- Experience with Large Language Models, NLP, or Generative AI.
- Master's degree or PhD in Computer Science or related technical fields.
- Experience developing accessible technologies.
- Experience with C# and JavaScript.
- Familiarity with machine learning concepts and algorithms.
- Strong communication and collaboration skills.
- Health and Wellbeing (Medical, dental, and vision insurance for employees and dependents)
- Financial wellbeing (Competitive compensation, regular bonus and equity refresh opportunities)
- Flexibility and time off (Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays)
- Family support and care (Fertility and growing family support, parental leave and baby bonding leave)
- Community and personal development (Educational reimbursement)
- Googley extras (Inspiring spaces to work, recharge, and collaborate with fellow Googlers)
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