At a Glance
- Tasks: Monitor AI model safety and ensure effective risk mitigation in production.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, diverse learning opportunities, and a collaborative work environment.
- Other info: Fast-paced environment with excellent career growth and interdisciplinary collaboration.
- Why this job: Be part of a team ensuring AI safety for widespread public benefit.
- Qualifications: Experience in research engineering and a passion for AI safety.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with
Google to connect them with exceptional professionals for this role.
We aim to turn production data into intelligence on the safety of deployed AI models.
Safety Oversight is a new team tasked with using large-scale production traffic and a variety of automated evaluation methods to monitor the safety and alignment of deployed models.
Our work will ensure we measure the real-world efficacy of our safety stack—both of in-model safety training and out-of-model safety mitigations to ensure we are effective in our goal of deploying safe models that are used for widespread public benefit.
The Safety Oversight team sits within the Gen AI safety organization and is accountable for ensuring that when a model safety issue occurs in production, or when a user is misusing our model at scale, we detect and understand it, so the safety risk can be rapidly mitigated.
We will collaborate closely with teams working on safety training and evaluation for Gemini and Gen Media models.
The Generative AI (Gen A)I Safety team operates in a fast-paced, highly collaborative environment.
We take the possibility of tangibly dangerous model capabilities seriously as AI advances, and we believe that proactive monitoring and deployment-time oversight are critical for safe AI development.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains.
Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
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Research Engineer, Safety Oversight — AI Safety in Production employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Safety Oversight — AI Safety in Production
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at hackajob or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to hackajob.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like hackajob.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like hackajob that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Research Engineer, Safety Oversight — AI Safety in Production
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at hackajob
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
