Kaggle Staff Software Engineer, AI/ML
Job Summary
Job Description
- 8+ years software development experience
- 5+ years testing & launching software products
- 5+ years ML design & infrastructure experience
- Experience with Python, .NET Core, React, TypeScript
- Collaboration with researchers and Kaggle teams
- Master's/PhD in related field
- Experience with generative modeling
- Technical leadership experience
- Knowledge of Kaggle competitions
- Bonus
- Equity
- Benefits
11 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience with generative modeling, benchmarking and evaluation.
- Knowledge of the space of ML competitions, Kaggle competitions, and the Kaggle platform.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Kaggle is a vibrant platform powered by a global community of over 20 million data scientists and Machine Learning (ML) practitioners who collaborate on cutting-edge Artificial Intelligence (AI) competitions. We partner with organizations worldwide to bring diverse and impactful problems to the community. Your mission is to empower this community to generate the knowledge and resources needed to build and utilize AI responsibly and effectively, making Kaggle the go-to destination for all things AI/ML.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Collaborate with the broader Kaggle team to design and implement software systems and tools that support the cutting edge of benchmarking and evaluation for AI/ML.
- Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run Large Language Model (LLM) Benchmarks and community evaluations.
- Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.
- Use modern libraries and frameworks such as Python, .NET Core, React, and TypeScript.
- Increase the ability to scale Google's services to new levels.
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