puestos de Computer Science en United States

Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces.

Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.

Our ML Platform team is responsible for building Lightricks' ML serving platform, which hosts all of the company's ML and Gen AI models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.

• Take a key role in designing and building our ML platform, working closely with our devops engineers, researchers and product engineering teams.
• Design and develop reliable and scalable production core services that are used by millions of users of our apps every day.
• Brainstorm feature design, system architecture improvements and troubleshooting.
• Work with cross-functional teams across Lightricks to understand their needs and translate them into platform capabilities.
• Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
• Write clean, maintainable and testable code, and inspire others to do the same.

• 5+ years of experience developing production backend systems in Python (preferred) or some other object-oriented language (Golang, Java, C++, C#, etc.).
• Hands on experience in building, deploying and maintaining scalable backend systems in a cloud environment.
• Excellent communication and collaboration skills.
• Highly independent, accountable and a team player, with an ability to own tasks from planning to release.
• Good understanding of critical production systems concepts - high availability, reliability and scalability.
• Experience in system and API design.
• B.Sc. in computer science or similar quantitative field.
• Experience in building developer platforms or tools is a plus.
• Experience with Docker and Kubernetes is a plus.
• Experience working with ML and large compute systems is a plus.

• Stock Options.
• Private Medical Insurance (Optical & Dental cover) including your loved ones.
• Life Assurance.
• £3,000p/a Transport Allowance.
• £750p/a allowance for Wellbeing & Professional Development.
• Free on-site lunches, coffee, breakfast & snacks.
• Pension Contributions (7%).
• Holiday (25 days).
• Seasonal & Anniversary Vouchers.
• Hybrid & Flexible working.
• Cool office space in central London.
• Enhanced Parental Leave.
• Cycle-to-work Scheme.
• Season Ticket Loan.
• Volunteering Opportunities.
• Frequent social activities - away-days, happy hours, team building, yoga, creative workshops.