At a Glance
- Tasks: Lead groundbreaking research on AI safety and develop innovative algorithms for advanced AI systems.
- Company: Join Google DeepMind, a leader in AI research focused on ethical and beneficial technology.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Make a real impact on the future of AI while ensuring its safe development for humanity.
- Qualifications: PhD in Computer Science or related field, with strong skills in machine learning and Python.
- Other info: Collaborate with top experts and enjoy a dynamic work environment with growth opportunities.
The predicted salary is between 120000 - 180000 ÂŁ per year.
Life at UiPath
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category‑leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self‑propelled, generous, and genuine; people who love being part of a fast‑moving, fast‑thinking growth company; and people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your mission
As a Research Scientist, your mission is to operate at the intersection of foundational research and applied innovation. You will be responsible for advancing our company\’s reputation in the global ML community by pursuing and publishing high‑impact work at top‑tier conferences (NeurIPS, ICML). Concurrently, you will explore and test creative, forward‑thinking hypotheses in agentic automation. In close collaboration with ML engineers across the company, you will translate these research breakthroughs into novel capabilities that push the boundaries of our products and fundamentally improve our core models.
We\’re looking for people who live to challenge \’good enough\’ in computer science and machine learning. You are motivated to solve real‑world problems by inventing the next technique, not just applying the last one, and are driven to inject scientific novelty into everything you build. Beyond that, you need to be kind, courteous, motivated, self‑starting and honest.
What You\’ll Do At UiPath
- Develop novel machine learning architectures that form the basis for autonomous agents, enabling them to interact with complex systems, formulate plans, and automate the solving of hard problems.
- Read papers, propose model improvements, implement, and test the new models. Take ownership of a research agenda, including proposing and carrying out high‑impact research projects.
- Present research findings both internally and at machine learning conferences like ICML, ICLR, NeurIPS, etc.
- Collaborate with applied scientists and engineers to improve our AI/ML products.
- Stay up to date with the latest research and technology and communicate your knowledge throughout the company.
- Mentor other members of the team and help hire new people.
What You\’ll Bring To The Team
- A PhD in Machine Learning / Computer Science or equivalent practical experience in a technical field. Publication record at leading machine learning conferences is a significant plus (ICML, ICLR, NeurIPS, etc.).
- Proven experience in successfully driving long‑term, ambiguous projects to completion, preferably with significant practical impact.
- Strong quantitative intuition and mastery of linear algebra, probability and statistics.
- Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX.
- Excellent communication and collaboration skills, with the ability to effectively work with other researchers, as well as with infrastructure and product teams.
- Good intuition for how computers work, particularly how they interact with modern machine learning techniques.
- Experience with another programming language (e.g., Rust / C++ etc.) is a plus.
- Working knowledge of GNU/Linux.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office‑based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants\’ privacy rights. To review these and other legal disclosures, visit our privacy policy.
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Research Scientist employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning community, attend conferences, and join relevant online forums. Building connections can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, algorithms, and any publications. This is your chance to demonstrate your expertise and passion for AI safety and alignment.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and theoretical knowledge. Be ready to discuss your past research and how it relates to the challenges faced in AI development. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a team that’s making a real difference in AI development.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Scientist role. Highlight your experience with machine learning algorithms and any relevant projects that showcase your skills in AI safety and interpretability.
Showcase Your Passion: Let us see your enthusiasm for AI and its societal implications. Share any personal projects or research that demonstrate your commitment to responsible AI development and how you align with our mission at Google DeepMind.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your research experience and technical skills, making it easy for us to see how you fit into our team.
Apply Through Our Website: Don’t forget to submit your application through our official website. This ensures that your application gets to the right people and helps us keep track of all candidates efficiently.
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Algorithms
Make sure you brush up on the latest algorithms and methods in AI safety, alignment, and interpretability. Be ready to discuss your experience with machine learning frameworks like JAX, PyTorch, or TensorFlow, and how you've applied them in your past projects.
✨Showcase Your Research
Prepare to talk about your research background, especially any publications in top-tier conferences. Highlight specific projects where you led research initiatives, focusing on the challenges you faced and how you overcame them.
✨Engage with Theoretical Concepts
Demonstrate your deep theoretical knowledge by discussing recent advancements in machine learning and AI safety. Be prepared to engage in discussions about complex concepts and how they relate to real-world applications.
✨Collaborative Spirit
Emphasise your ability to work collaboratively with diverse teams. Share examples of how you've successfully partnered with engineers and researchers to embed your findings into practical AI development, showcasing your teamwork skills.