Senior Software Engineer, Kaggle, AI/Machine Learning
3+ months ago• Warsaw, Poland
This job is no longer available.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 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 a related technical field.
- 1 year of experience in a technical leadership role.
- Experience with C# and JavaScript.
- Familiarity with machine learning concepts and algorithms.
- Excellent communication and collaboration skills.
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 partners with organizations to bring interesting and important problems from all domains and disciplines to our community. Our outlook is to activate our community to create the knowledge and resources the world needs to build AI responsibly and effectively.
As a Senior Software Engineer, you will work on Kaggle's Research priorities, help innovate in Kaggle's platform for ML competitions, datasets, and models, and establish Kaggle Research as a leader in building earned trust through community validation of AI.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Responsibilities
- Collaborate with the Kaggle Research team to 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.
- Develop and maintain software infrastructure for running Kaggle competitions and benchmarks.
- Work with the Kaggle Competitions team to expand Kaggle competitions platform to host and run Large Language Model (LLM) Benchmarks and community evaluations.
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Client-provided location(s): Warsaw, Poland
Job ID: Google-138159727606407878
Employment Type: OTHER
Posted: 2025-01-28T11:50:40
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
- Health Reimbursement Account
- HSA With Employer Contribution
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K) With Company Matching
- Company Equity
- Performance Bonus
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Internship Program
- Learning and Development Stipend
Diversity and Inclusion
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