At a Glance
- Tasks: Develop cutting-edge AI systems for real-time video generation and collaborate on innovative projects.
- Company: Join Cantina, a pioneering social platform founded by Sean Parker, revolutionising AI interactions.
- Benefits: Enjoy competitive pay, equity options, healthcare benefits, and flexible remote work arrangements.
- Why this job: Be part of a collaborative culture that values innovation and shapes the future of AI technology.
- Qualifications: Strong Python skills, experience in data processing, and knowledge of AI models are essential.
- Other info: This is a full-time remote role based in the GMT time zone, with a salary starting at $175-250k.
The predicted salary is between 42000 - 70000 £ per year.
A bit about Cantina: Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet. Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text. If you\’re excited about the potential AI has to shape human creativity and social interactions, join us in building the future! A bit about the role: We are looking for Research Engineers to contribute to the development of state-of-the-art AI systems for real-world applications, focusing on real-time and offline human-centric video generation (currently focusing on talking heads). Our technology leverages diffusion models, flow matching, and GANs. We are also working on network optimization and audio-driven avatars. As a Research Engineer, you will work on: Data processing, cleaning, and filtering to ensure high-quality datasets for training and experimentation. Optimizing and accelerating pipelines to improve performance and efficiency. Testing hypotheses and building prototypes for new features or model improvements. Collaborating with researchers and engineers to integrate prototypes into production pipelines. Supporting the team in deploying and scaling AI solutions. Requirements: Experience in data processing and creating efficient pipelines for large-scale datasets. Strong programming skills in Python, with expertise in frameworks like PyTorch. Knowledge of image/video generation, audio sequence-to-sequence models, model optimization, and distillation (experience in all areas is not mandatory). Publications in reputable conferences or journals are a plus. Why Join Cantina AI? Opportunity to work on groundbreaking AI technologies that redefine human-computer interaction. Collaborative and inclusive culture that values innovation, continuous learning, and professional growth. Competitive compensation package including equity options, healthcare benefits, and flexible work arrangements. Please note: This is a remote role from London, England, but we are also open to remote in the GMT time zone. The salary starts at $175-250k + stock option plan. This is full-time employment only – no contractors possible – usually through Remote.com. We are unable to sponsor location based visas. Application Process: Please submit your resume, cover letter, and any relevant portfolio or publications demonstrating your research contributions in AI. #J-18808-Ljbffr
Machine Learning Engineer, Video employer: Cantina Labs
Contact Detail:
Cantina Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Video
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in video generation and human-centric applications. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase any personal projects or contributions to open-source initiatives related to AI and video generation. This hands-on experience can set you apart from other candidates and highlight your practical skills.
✨Tip Number 3
Network with professionals in the AI community, especially those working on similar technologies. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals within Cantina.
✨Tip Number 4
Prepare to discuss how you would approach data processing and pipeline optimisation for large-scale datasets. Having a clear strategy or examples ready can impress the interviewers and show your problem-solving capabilities.
We think you need these skills to ace Machine Learning Engineer, Video
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position at Cantina. Tailor your application to highlight relevant experiences and skills that align with their focus on AI systems and video generation.
Craft a Compelling Cover Letter: Your cover letter should not only express your enthusiasm for the role but also demonstrate your understanding of Cantina's mission. Mention specific technologies they use, like diffusion models and GANs, and how your experience aligns with their needs.
Showcase Your Experience: In your resume, emphasise your experience in data processing, pipeline creation, and any relevant programming skills in Python. Include any publications or projects that showcase your contributions to AI research, especially those related to video generation or model optimisation.
Prepare Your Portfolio: If you have a portfolio of work or publications, ensure it is well-organised and highlights your best contributions to AI. This could include code samples, project summaries, or links to any relevant research papers. Make it easy for the hiring team to see your capabilities.
How to prepare for a job interview at Cantina Labs
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and any experience you have with frameworks like PyTorch. Be prepared to discuss specific projects where you've implemented data processing or created efficient pipelines for large-scale datasets.
✨Demonstrate Your Knowledge of AI Technologies
Familiarise yourself with the latest advancements in AI, particularly in video generation and audio-driven avatars. Discuss any relevant research or publications you have contributed to, as this will show your commitment to the field and your understanding of current trends.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with researchers and engineers, be ready to discuss your experience in collaborative projects. Share examples of how you've integrated prototypes into production pipelines and how you handle feedback from team members.
✨Express Your Passion for AI and Creativity
Cantina is looking for individuals who are excited about the potential of AI to shape human creativity and social interactions. Be sure to convey your enthusiasm for the role and how you envision contributing to the future of AI technologies.