At a Glance
- Tasks: Lead AI research to enhance productivity tools and develop innovative algorithms.
- Company: warpSpeed is revolutionising productivity with cutting-edge Application AI tools.
- Benefits: Enjoy flexible working, market-leading pay, and an electric car salary sacrifice scheme.
- Other info: Collaborative environment with opportunities for personal research and career growth.
- Why this job: Join a dynamic startup making a real impact on millions of users worldwide.
- Qualifications: PhD in Computer Science or related field; 5+ years in AI research required.
The predicted salary is between 43200 - 72000 £ per year.
warpSpeed 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 warpSpeed as a thought leader in Application AI.
- Mentor junior researchers and foster a culture of innovation within the team.
Qualifications:
- PhD 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., NeurIPS, ICML, ICLR).
- Expertise in deep learning frameworks such as PyTorch or TensorFlow.
- 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 warpSpeed:
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.
- Electric car salary sacrifice scheme.
- Market leading compensation.
- Flexible working arrangements.
- 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. Join us in our mission to give people the gift of time and transform how the world works, one smart tool at a time. warpSpeed is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-LjbffrAI Research Scientist in London employer: Iamwarpspeed
warpSpeed is an exceptional employer, offering a dynamic and innovative work culture where AI Research Scientists can thrive. With a clear path for career advancement, access to real-world data, and the opportunity to lead groundbreaking research projects, employees are empowered to make a meaningful impact on productivity tools that will benefit millions. The collaborative environment fosters creativity through regular brainstorming sessions and hackathons, ensuring that every team member's ideas are valued and explored.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist in London
✨Tip Number 1
Network with professionals in the AI and productivity tools space. Attend conferences, webinars, or local meetups where you can connect with current employees at warpSpeed or similar companies. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends and advancements in AI research, particularly in machine learning and natural language processing. Follow relevant journals and publications to understand what innovations are being discussed, as this knowledge can be a great conversation starter during interviews.
✨Tip Number 3
Engage in online communities and forums related to AI research. Platforms like GitHub or Stack Overflow can be excellent places to showcase your expertise and collaborate on projects that align with warpSpeed's mission, demonstrating your passion and skills.
✨Tip Number 4
Prepare to discuss your previous research and its real-world applications. Be ready to explain how your work has contributed to productivity tools or similar domains, as this will show your alignment with warpSpeed's goals and your ability to make an impact.
We think you need these skills to ace AI Research Scientist in London
How to prepare for a job interview at Iamwarpspeed
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to machine learning and AI. Highlight any novel algorithms or models you've developed and how they can apply to productivity tools.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with deep learning frameworks like PyTorch or TensorFlow. Be ready to answer technical questions and possibly solve problems on the spot to showcase your coding skills.
✨Communicate Complex Ideas Simply
Since you'll need to explain complex concepts to non-technical stakeholders, practice articulating your ideas clearly and concisely. Use analogies or simple examples to make your points more relatable.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, as this role involves working with cross-functional teams. Think of examples where you've successfully collaborated on projects and how you contributed to a positive team dynamic.