Research Engineer, Media Integrity
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Job Location:
Mountain View, CA - USA
Monthly Salary:
$ 202000 - 202000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Snapshot
This role requires a passion for advancing information literacy through machine learning focusing on assessing media trustworthiness (images audio and video) and exploring concepts like authenticity provenance and context. Key responsibilities include rapid prototyping of ML techniques exploratory data analysis collaborating with product teams to drive research and developing tools and frameworks to accelerate research. A public example of research work is Backstory.
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
Were a dedicated scientific community committed to solving intelligence and ensuring our technology is used for widespread public benefit.
Weve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We dont set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
The role
To succeed in this role you will need to be passionate about advancing information literacy using machine learning and other computational techniques. Youll join an interdisciplinary team of domain experts ML researchers and engineers to research and build systems and tools to assess the trustworthiness of media (images audio and videos) on the internet. Relevant domains may include but are not limited to determining media authenticity context discovery and open source intelligence investigations. A public example of recent work is Backstory.
Key responsibilities:
- Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
- Undertake exploratory analysis to inform experimentation and research directions.
- Engage with product teams to drive the development of our research.
- Implement tools libraries and frameworks to speed up and enable new research.
- Report and present research findings software developments experimental results and data analysis clearly and efficiently.
- Collaborate with internal and external scientific domain experts.
About you
In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:
- Masters degree in Computer Science Electrical Engineering Science or Mathematics or equivalent experience.
- Applied experience with machine learning preferably modern deep learning techniques (e.g. Transformers Diffusion LLMs).
- Programming experience.
- Quantitative skills in math and statistics.
- Experience exploring analysing and visualising data.
In addition the following would be an advantage:
- Experience optimising large-scale training and fine-tuning large models.
- Experience working with large and noisy datasets.
- Experience collaborating across fields.
- Expertise in computer vision or natural language understanding.
When assessing technical background we will take a holistic view of the mix of scientific ML and computational experience. We do not expect you to be an expert in all fields simultaneously.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
The US base salary range for this full-time position is between 141000 USD - 202000 USD bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: Friday February 27th at 9:00am PST
Required Experience:
IC
Key Skills
- IDS
- System Design
- Haskell
- PCB
- Root cause Analysis
- Technical Writing
- System Security
- Federal Aviation Regulations
- Warehouse Distribution Experience
- Encryption
- Product Development
- Contracts
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
