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Software Engineering Manager, Applied AI Job Opening In Singapore, Singapore – Now Hiring Google DeepMind


Job description

Overview

Software Engineering Manager, Applied AI – Google DeepMind.

We are seeking a software engineering manager to lead the development and deployment of novel applications, leveraging Google’s generative AI models.

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

Job Responsibilities

  • Lead a team in the design and development of scalable software applications leveraging generative AI models.

  • Guide the team in rapidly developing new features and iterating based on evaluation results.

  • Collaborate with researchers and product managers to translate research advancements into tangible product features.

  • Oversee the optimization of software performance and ensure the reliability of deployed applications.

  • Champion the development of best practices for building and deploying generative AI applications.

  • Lead the architecture and development of new products & features from 0 to 1.

  • Mentor and develop team members, fostering a collaborative and high-performing environment.

  • Partner with PM team to qualify & size new project opportunities.

Minimum qualifications

  • A bachelor degree in computer science, electrical engineering or equivalent experience.

  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

  • 5 years of experience in minimum of one ML field (eg.

    media generation, reinforcement learning, infrastructure etc.)
  • 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications

  • Experience with generative AI models and applications.

  • Contributions to open-source projects.

  • Experience with front-end development.

  • Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.

  • Experience evaluating model performance, analyzing results, and implementing improvements.

  • Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Software Engineering Potential: Insight & Career Growth Guide


Real-time Software Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineering in Singapore, Singapore, highlighting market share and opportunities for professionals in Software Engineering roles.

6889 Jobs in Singapore
6889
6214 Jobs in Singapore
6214
Download Software Engineering Jobs Trends in Singapore and Singapore

Are You Looking for Software Engineering Manager, Applied AI Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google DeepMind adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Software Engineering Manager, Applied AI Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Software Engineering Manager, Applied AI?

Key qualifications for Software Engineering Manager, Applied AI typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Software Engineering Manager, Applied AI?

To improve your chances of getting hired for Software Engineering Manager, Applied AI, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Software Engineering Manager, Applied AI Job Success

Google DeepMind interview tips for Software Engineering Manager, Applied AI

Here are some tips to help you prepare for and ace your Software Engineering Manager, Applied AI job interview:

Before the Interview:

Research: Learn about the Google DeepMind's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineering Manager, Applied AI interview at Google DeepMind, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Google DeepMind's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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