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- Tasks: Lead projects from research to production, focusing on ML techniques and large datasets.
- Company: Join Unlikely AI, a deep tech startup revolutionizing AI for a better future.
- Benefits: Enjoy hybrid work options, competitive salary, and generous share options.
- Why this job: Be part of a team tackling tough tech challenges with huge impact in AI.
- Qualifications: 5+ years in deep learning, strong Python skills, and familiarity with cloud platforms.
- Other info: Diverse team culture encouraging authenticity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
As a Senior Applied Scientist joining Unlikely AI, you will be working the full project lifecycle: from literature to POC to production. You will have a key role in delivering products, starting with literature review, creating proof of concepts applying the latest Machine Learning techniques, collaborating with colleagues to implement and test your ideas, and helping deliver your solutions to production. The role is not limited to a specific field, but our current areas of interest include LLMs and Reinforcement Learning.
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.
As a Senior Applied Scientist working for Unlikely AI, you will:
Convert cutting-edge research into real products
Design, build and experiment with cutting-edge technologies
Drive the design, development, and execution of self-driven research projects
Write software that is built and deployed in production systems
Communicate complex solutions to colleagues
Analyse & inspect large-scale datasets
Please see ourCompany Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.
Required:
5+ years of hands-on experience in deep learning.
Deep knowledge of machine learning fundamentals.
Strong coding skills in Python and familiarity with one or more deep learning frameworks (e.g, PyTorch, TensorFlow.
Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with.
Ability to communicate complex research both written and verbal.
Familiarity with cloud platforms such as AWS and GCP.
Proficiency in data analysis techniques.
Use of Python libraries that encourage best practices such as pytest, pylint, black etc.
Desirable:
Experience utilising & deploying transformer models
ML Ops
Docker, K8s
Start-up experience
Please note this role is not a pure research role and does not involve the creation of academic literature, but you should be very comfortable with reading and utilising academic papers and applying these concepts in your work.
Location:
We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.
Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.
Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
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Senior Applied Scientist employer: Unlikely Artificial Intelligence Limited.
Contact Detail:
Unlikely Artificial Intelligence Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in LLMs and Reinforcement Learning. This will not only help you understand the current areas of interest at Unlikely AI but also allow you to discuss relevant topics during your interactions with the team.
✨Tip Number 2
Showcase your hands-on experience with deep learning frameworks like PyTorch or TensorFlow. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 3
Highlight your coding skills in Python and your familiarity with best practices using libraries such as pytest and pylint. This will show that you are not only a capable coder but also someone who values code quality and maintainability.
✨Tip Number 4
Prepare to communicate complex ideas clearly and effectively. Since the role involves collaboration and explaining technical concepts to colleagues, practicing how to articulate your thoughts will be crucial for success in the interview process.
We think you need these skills to ace Senior Applied Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Applied Scientist position. Familiarize yourself with the key areas of interest such as LLMs and Reinforcement Learning, and think about how your experience aligns with these.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of hands-on experience in deep learning and your strong coding skills in Python. Mention any specific projects where you've applied machine learning techniques or worked with deep learning frameworks like PyTorch or TensorFlow.
Showcase Communication Skills: Since the role requires the ability to communicate complex solutions, include examples in your application that demonstrate your written and verbal communication skills. This could be through previous presentations, reports, or collaborative projects.
Tailor Your Application: Customize your application materials to reflect Unlikely AI's company principles and values. Show your enthusiasm for tackling difficult technical problems and your willingness to learn new technologies, which is crucial for this role.
How to prepare for a job interview at Unlikely Artificial Intelligence Limited.
✨Showcase Your Project Experience
Be prepared to discuss specific projects where you've applied deep learning techniques. Highlight your role in the project lifecycle, from literature review to production, and emphasize any proof of concepts you developed.
✨Demonstrate Your Coding Skills
Since strong coding skills in Python are essential, be ready to talk about your experience with Python and any deep learning frameworks like PyTorch or TensorFlow. Consider sharing examples of code you've written or projects where you've implemented these technologies.
✨Communicate Complex Ideas Clearly
Practice explaining complex machine learning concepts in simple terms. This will demonstrate your ability to communicate effectively with colleagues and stakeholders, which is crucial for this role.
✨Familiarize Yourself with Their Technology Stack
Research Unlikely AI's current areas of interest, such as LLMs and Reinforcement Learning. Understanding their technology stack and being able to discuss how your skills align with their needs will show your enthusiasm and preparedness for the role.
