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For Companies At a Glance
- Tasks: Join a small team to build and scale cutting-edge ML models in AI.
- Company: Be part of a fast-growing startup backed by top VCs and experienced founders.
- Benefits: Enjoy flexible working, equity, bonuses, and a chance to mentor others.
- Why this job: Drive innovation in AI while having real autonomy and impact on projects.
- Qualifications: PhD in STEM, proven AI achievements, and proficiency in Python and ML frameworks required.
- Other info: This role offers sponsorship for strong candidates.
The predicted salary is between 63000 - 81000 £ per year.
Job Description
AI Scientist (PhD Graduate)
Salary: £75,000-£90,000 + equity, bonus and benefits
Location: London – Flexible working 1-2 days a week
Join an exciting start up in their hypergrowth phase – with impressive pre-seed funding, a headcount of 9 (looking to scale) and a product across the creative and graphic design space as an AI agent. Backed by top VCs and 2 ex-Big Tech Co-Founders.
ROLE AND RESPONSIBILITIES
- Working closely within a small team, to build and scale ML models focusing on Computer Vision, LLMs and ML
- Applying the latest research to commercial problems
- Working alongside technical founders, chance to have real autonomy and drive commercial and technical value – whilst working with the end users
- Driving the latest innovative research in AI, deploying core projects onto their platform
- Opportunity to upskill and mentor junior members, whilst learning from a high-calibre team
SKILLS AND EXPERIENCE
Required
- PhD from a top academic institution in STEM related subject
- Proof of AI academic achievement (publications, conferences, awards etc.)
- Proficiency in Python, PyTorch, TensorFlow
- Then experience in some of: Computer Vision (2D or 3D), GenAI, LLM (Agents and Fine tuning), Machine Learning
- Actively looking to join a fast-paced startup
- Any internships or experience in big tech, startup or founder experience is beneficial
This role can sponsor for strong candidates
Apply below!
AI Scientist (PhD Graduate) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist (PhD Graduate)
✨Tip Number 1
Make sure to showcase your research experience and any publications you have in AI. Highlighting your academic achievements will demonstrate your expertise and commitment to the field, which is crucial for this role.
✨Tip Number 2
Network with professionals in the AI and startup community. Attend relevant conferences or meetups where you can connect with industry leaders and potentially get referrals that could help you land an interview with us.
✨Tip Number 3
Familiarize yourself with our product and the specific challenges we face in the creative and graphic design space. Being able to discuss how your skills can directly contribute to solving these problems will set you apart during the interview process.
✨Tip Number 4
Prepare to discuss your experience with Python, PyTorch, and TensorFlow in detail. Be ready to provide examples of projects you've worked on that involved Computer Vision or Machine Learning, as practical experience is highly valued in our fast-paced environment.
We think you need these skills to ace AI Scientist (PhD Graduate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD achievements and any relevant AI research. Emphasize your experience with Python, PyTorch, and TensorFlow, as well as any publications or conferences you've participated in.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for joining a fast-paced startup and how your skills align with the company's goals. Mention specific projects or experiences that demonstrate your ability to drive commercial and technical value.
Showcase Relevant Experience: If you have internships or experience in big tech or startups, make sure to detail these in your application. Highlight any work related to Computer Vision, GenAI, or LLMs to show your fit for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in the tech industry.
How to prepare for a job interview at Harnham
✨Showcase Your Research
Be prepared to discuss your PhD research in detail, especially how it relates to AI and machine learning. Highlight any publications or conferences you've participated in, as this demonstrates your academic achievements and expertise.
✨Demonstrate Technical Proficiency
Make sure to showcase your skills in Python, PyTorch, and TensorFlow during the interview. You might be asked to solve a technical problem or explain your approach to building ML models, so practice articulating your thought process clearly.
✨Emphasize Team Collaboration
Since this role involves working closely within a small team, emphasize your ability to collaborate effectively. Share examples of past experiences where you contributed to a team project, particularly in fast-paced environments like startups.
✨Express Your Passion for Innovation
Convey your enthusiasm for driving innovative research in AI. Discuss any personal projects or interests that align with the company's focus on creative and graphic design applications, showing that you're not just technically skilled but also passionate about the field.
