At a Glance
- Tasks: Lead AI research to revolutionise productivity tools and enhance user experiences.
- Company: Join warpSpeed, a pioneering startup in Application AI.
- Benefits: Market-leading salary, flexible work, and professional development opportunities.
- Other info: Collaborative environment with mentorship and team-building events.
- Why this job: Shape the future of productivity with cutting-edge AI technologies.
- Qualifications: PhD in Computer Science and 5+ years of AI research experience required.
The predicted salary is between 63000 - 77000 £ per year.
About Warp Speed warp Speed is pioneering the world's premier Application AI tool, elevating the use of Daily Tools to create unprecedented productivity and insights for users, moment by moment, hour by hour.
We're on a mission to create hundreds of powerful life-changing AI services that usher in a new wave of intelligence, awareness, and productivity for the human race.
AI Research Scientist
About Warp Speed warp Speed is pioneering the world's premier Application AI tool, elevating the use of Daily Tools to create unprecedented productivity and insights for users, moment by moment, hour by hour.
We're on a mission to create hundreds of powerful life-changing AI services that usher in a new wave of intelligence, awareness, and productivity for the human race.
The Opportunity
Help shape the future of productivity tools.
In this role, you'll be at the forefront of developing cutting-edge AI technologies that will transform how people manage their time, tasks, and daily lives.
Key Responsibilities
- Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools.
- Develop novel algorithms and models to improve task automation, predictive scheduling, and personalised productivity recommendations.
- Collaborate with cross-functional teams to integrate AI solutions into our existing products and systems.
- Design and conduct experiments to evaluate the effectiveness of AI models in real-world productivity scenarios.
- Publish research findings in top-tier academic conferences and journals, establishing warp Speed as a thought leader in Application AI.
- Mentor junior researchers and foster a culture of innovation within the team.
Qualifications
- Ph D in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains.
- Strong publication record in top-tier AI conferences (e. g., Neur IPS, ICML, ICLR).
- Expertise in deep learning frameworks such as Py Torch or Tensor Flow.
- Proficiency in Python and experience with large-scale data processing.
- Familiarity with cloud computing platforms (e. g., AWS, Google Cloud).
- Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.
- Why Join Warp Speed
Career Growth and Impact
- Opportunity to lead groundbreaking research projects that will directly impact millions of users worldwide.
- Be part of a rapidly growing startup that's redefining productivity in the AI era.
- Work on complex problems at the intersection of AI, productivity, and human behaviour.
- Access to vast amounts of real-world data to train and improve your models.
- Opportunity to push the boundaries of what's possible in Application AI.
- Collaborative Environment
- Work alongside world-class AI researchers, engineers, and product designers.
- Regular brainstorming sessions and hackathons to foster creativity and innovation.
- Encouragement to pursue your own research interests aligned with company goals.
- Comprehensive Benefits
- Electric car salary sacrifice scheme.
- Market leading compensation.
- Professional development budget.
- Flexible working arrangements.
- Mentorship programmes.
- Team-building events and celebrations.
If you're passionate about using AI to make a real difference in people's lives and want to be part of a team that's pushing the boundaries of what's possible, we want to hear from you.
warp Speed is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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AI Research Scientist in London employer: warpSpeed
warpSpeed is an exceptional employer that fosters innovation and creativity in the heart of London. With a dynamic work culture that encourages collaboration and professional growth, employees are empowered to lead transformative AI projects while enjoying competitive benefits and a supportive environment. Join us to be part of a forward-thinking team where your expertise will shape the future of technology and enhance daily productivity for users worldwide.
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We think this is how you could land AI Research Scientist in London
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We think you need these skills to ace AI Research Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at warpSpeed. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at warpSpeed!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
