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For Companies At a Glance
- Tasks: Join a team to innovate in 3D and visual realism using cutting-edge ML techniques.
- Company: Be part of a deep tech startup revolutionising content creation tools.
- Benefits: Competitive salary, potential sponsorship, and a chance to work on groundbreaking technology.
- Why this job: Shape the future of visual effects while working with passionate experts in a dynamic environment.
- Qualifications: MSc or PhD in a relevant field with experience in ML and 3D workflows.
- Other info: This role is fully on-site in London, fostering collaboration and creativity.
The predicted salary is between 60000 - 84000 £ per year.
Drive innovation in 3D and visual realism at a deep tech startup pioneering the next generation of content creation tools.
ROLE AND RESPONSIBILITIES
- Join a concise team of MLEs, working at the intersection of 3D, rendering, texturing, diffusion models, and visual effects.
- Research and develop new methods for converting 2D images into detailed material properties (e.g. colour, roughness, texture).
- Work hands-on with diffusion models, GANs, and segmentation techniques (e.g. DINO) to enhance realism in 3D workflows.
SKILLS AND EXPERIENCE
- Strong academics (MSc or PhD) in a relevant area.
- Academic experience and an interest in texturing, rendering and 3D diffusion models.
- Proven track record in applying ML to image-to-material or image-based analysis problems.
This role offers the opportunity to shape breakthrough technology in an industry-defining product. If you’re passionate about the intersection of ML, visual realism, and 3D creation—get in touch. This role can sponsor!
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in 3D rendering and texturing techniques. Being able to discuss recent developments or breakthroughs in your interviews will show your passion and commitment to the field.
✨Tip Number 2
Engage with online communities and forums related to machine learning and 3D visualisation. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to showcase your hands-on experience with diffusion models, GANs, and segmentation techniques. Having practical examples or projects ready to discuss will demonstrate your technical skills and problem-solving abilities.
✨Tip Number 4
Research the company’s current projects and technologies they are developing. Tailoring your conversation to align with their goals and challenges during interviews can set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly your MSc or PhD, and any relevant experience in machine learning, 3D rendering, and texturing. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and visual realism. Discuss specific projects or experiences where you applied ML techniques to image analysis or 3D workflows, demonstrating your fit for the role.
Showcase Relevant Projects: If you have worked on projects involving diffusion models, GANs, or segmentation techniques, include these in your application. Provide links to your portfolio or GitHub repository to give the hiring team insight into your practical skills.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Harnham
✨Showcase Your Academic Background
Make sure to highlight your MSc or PhD qualifications during the interview. Discuss specific projects or research that relate to texturing, rendering, and 3D diffusion models, as this will demonstrate your strong academic foundation.
✨Demonstrate Practical Experience
Be prepared to discuss any hands-on experience you have with machine learning techniques such as GANs, diffusion models, and segmentation methods. Providing examples of how you've applied these in real-world scenarios will set you apart.
✨Stay Updated on Industry Trends
Research the latest advancements in 3D content creation and visual realism. Being knowledgeable about current trends and technologies will show your passion for the field and your commitment to driving innovation.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask the interviewers. Inquire about their current projects, team dynamics, and future goals. This not only shows your interest but also helps you assess if the company is the right fit for you.
