Machine Learning Scientist
SKILLS
FULL DESCRIPTION
Summary
Loci is seeking a Machine Learning Scientist to develop deep learning algorithms for 3D content understanding, including classification, retrieval, generation, and captioning. The role is based in London with flexible work-from-home options, offering a competitive salary and stock options, and the opportunity to be part of a founding team backed by leading European VC funds.
- Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning.
- Analysing the performance and efficiency of existing approaches and designing new methods to improve the state-of-the-art.
- Strong communication skills are crucial as you'll be sharing your progress and insights with the team, using various tools to ensure effective collaboration.
- Fluency in Python and at least one deep learning framework is essential for this role.
- A Master's degree in machine learning, computer vision, graphics, or other relevant areas is required.
Overview
A brief overview of the role and its purpose within the organisation.
Role Summary
We're looking for a Machine Learning Scientist to work on methods for 3D content classification, retrieval, generation, and captioning.
📌 The role is based in London (Vauxhall) with flexible work-from-home options.
⚒ You will be an integral part of our founding team. If the idea of building something beautiful from the ground up with a lean, deliberately paced team excites you, this could be a dream opportunity.
💶 Competitive salary & stock options plan.
🦄 We are backed by leading European VC funds.
What you will be doing
Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning.
Analysing the performance and efficiency of existing approaches and designing new methods to improve the state-of-the-art.
Encouraged to question experiment results, especially when the outcome is unexpected.
Gaining a deep understanding of the problem area and becoming a resource for other team members.
Participating in hiring and mentoring to shape the growing team.
Keeping up-to-date with the computer vision and machine learning literature.
Working closely with our engineers to bring prototypes into production.
While we do not currently publish our work, you may be encouraged to do so when the need arises and attend relevant conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, etc)
Skills and qualifications
- A Master's degree in machine learning, computer vision, graphics, or other relevant areas is required. Having completed a Ph.D. in one of these areas is ideal but not required.
- Fluency in Python and at least one deep learning framework is essential for this role.
- Demonstrated research experience in academia or industry showcases your ability to drive innovation and solve complex problems.
- Strong communication skills are crucial as you'll be sharing your progress and insights with the team, using various tools to ensure effective collaboration.
- Knowledge of 3D modelling, point clouds, and related technologies is a plus, but not mandatory.
- Experience with AWS is a bonus.
Benefits
- Flexible work-from-home - (If you do your best work from home, then we will support this as much as possible)
- Office home set up - (budget to help you set up a second workstation wherever you need it)
- Unlimited sick days & no holiday limit - (We are results-driven and want you to take as much time off as you need to enjoy your life and come into work feeling energised)