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Deepmind Jobs (NOW HIRING)

DeepMind

Senior Psychologist

Mountain View, CA · On-site

At Google DeepMind, we're 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 ...

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What is a DeepMind job?

A DeepMind job refers to a role within DeepMind, an artificial intelligence research company owned by Alphabet. DeepMind hires experts in AI, machine learning, neuroscience, and related fields to work on advanced research and real-world applications of AI. Positions range from research scientists and engineers to ethics and policy specialists. Employees contribute to cutting-edge projects in healthcare, robotics, and general AI development.

What are the typical daily responsibilities for someone working at DeepMind?

Professionals at DeepMind generally focus on developing and testing novel AI algorithms, conducting cutting-edge research, and publishing findings in academic conferences or journals. Daily tasks may include collaborating with other researchers and engineers, designing experiments, analyzing large datasets, and participating in team meetings to discuss research directions. Teamwork is central, as projects often require input from experts in multiple disciplines such as neuroscience, engineering, and mathematics. This collaborative environment enables innovative breakthroughs and fosters continuous learning and growth.

How hard is it to get a job at DeepMind?

Getting a job at DeepMind is highly competitive, often requiring advanced degrees in fields like computer science, machine learning, or related areas, along with strong research or industry experience. Candidates typically undergo rigorous technical interviews assessing problem-solving, coding skills, and knowledge of AI and deep learning concepts.

What are the key skills and qualifications needed to thrive in the Deepmind position, and why are they important?

To thrive at DeepMind, strong expertise in machine learning, artificial intelligence research, and advanced mathematics is typically required, backed by a degree in computer science or a related field, often at the PhD level. Familiarity with coding languages such as Python or C++, and experience with deep learning frameworks like TensorFlow or PyTorch, is essential. Collaboration, creativity, and complex problem-solving are crucial soft skills for working within multidisciplinary research teams. These abilities enable impactful research, innovative solutions, and effective teamwork in a rapidly evolving AI landscape.

How can I get a job at Google DeepMind?

To get a job at DeepMind, candidates should review current openings on the company's careers page, ensure they have relevant skills in machine learning, AI, or related fields, and submit a tailored application highlighting their experience. Strong programming skills, typically in Python or C++, and a background in research or academia are often required. Networking and participating in relevant projects or conferences can also improve chances.

What's the average salary at DeepMind?

DeepMind, as a leading AI research organization, offers salaries for roles such as research scientists and engineers that typically range from $100,000 to $200,000 annually, depending on experience and expertise. Compensation often includes benefits like stock options and performance bonuses, and roles generally require advanced degrees in relevant fields like machine learning or computer science.

Which 5 jobs will survive AI?

Deepmind, as an AI research organization, suggests that jobs requiring complex problem-solving, creativity, emotional intelligence, and social interaction are less likely to be fully replaced by AI. Roles such as healthcare professionals, researchers, educators, creative designers, and skilled trades tend to be more resilient due to their reliance on human judgment and adaptability. Continuous learning and specialized skills remain important for job security in an AI-driven environment.
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Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind

Google DeepMind

Manhattan, NY • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. They are seeking a Research Engineer for Agentic Security & Privacy Post-Training for Gemini, responsible for building training data and techniques to enhance security and privacy capabilities in generative AI models.
Responsibilities:
• Build post-training data and tools to improve Gemini's security & privacy capabilities across coding, personal assistant, and other agentic capabilities; integrating improvements into latest versions of Gemini.
• Coordinate closely with stakeholders working on Gemini's tool use, coding and other agentic capabilities to ensure security & privacy gains in the model do not impact Gemini's utility.
• Collaborate with other team members to improve our adversarial evaluation (auto-red teaming) techniques and out-of-model guardrails.
• Amplify the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred:
• Master's degree in Computer Science or related quantitative field with 5 years of relevant experience.
• Experience in Python through strong artifacts in building readable, scalable, reusable ML software.
• Experience in training or fine-tuning generative models to improve capabilities.
• Experience in solving machine learning security and privacy problems.
• Experience with JAX, PyTorch, or similar machine learning platforms.
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.

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