Remote Jobs at Luma AI

Candidates should have 5+ years of engineering experience in various tech environments, particularly in product-driven companies. Strong Python skills and a deep understanding of end-to-end backend systems and databases are required. Experience building projects with LLMs and Agents, including production-level projects or MVPs, is essential. Prior experience in startup environments, either as a founder or an early-stage engineer, is preferred.

Candidates should have 5+ years of experience in graphic design, motion design, web design, and video production/editing skills. Experience working with visual design systems across various digital, physical, and social brand touchpoints is required, along with proficiency in web design and editing tools like Framer. The candidate should also have experience leading other specialists such as motion designers, artists, photographers, developers, writers, strategists, marketers, and external agenc…

Candidates should have 3-5 years of growth marketing experience in product-driven companies, particularly where product-led growth and community engagement are key. A strong understanding of user acquisition and retention strategies is essential, along with proficiency in growth hacking tools, SEO, and performance marketing. Data analytical skills and a curious mindset are required, and strong communication and collaboration skills are a must. Founders with relevant experience in growth marketin…

Candidates should have significant experience solving complex problems in multimodal language models. Expertise in Python and Pytorch is required, along with practical experience in the full development pipeline from data processing to optimization. Experience working with large-scale text data is essential, and familiarity with interleaved data that includes audio, video, image, and text is a bonus. Hands-on experience in developing or benchmarking LLMs, Vision Language Models, Audio Language M…

Candidates must have a minimum of 5 years of experience as an industry software engineer and should not be new graduates. Proficiency in Python is required, along with experience deploying applications using Docker and Kubernetes. A good understanding of security and authentication is necessary, and experience designing and shipping high-traffic REST APIs is essential. Experience in deploying machine learning models is a strong plus but not mandatory.

Candidates should have at least 7 years of experience in a data science role, preferably as a founding data scientist or lead analyst in a hyper-growth product or research company. A strong understanding of building and maintaining a modern data stack is required. Candidates must demonstrate superb communication skills and the ability to work cross-functionally, along with outstanding interpersonal skills to build great relationships. A sense of humor is also valued.

Candidates must have at least 5 years of engineering experience in various tech environments, particularly in product-driven companies. Strong skills in Python and a deep understanding of end-to-end backend systems, databases, and authorization are required. Experience with JavaScript and React for front-end development is necessary, along with proficiency in any backend language. Prior experience in startup environments and working with user-facing APIs is also essential.

Candidates should have at least 5 years of experience in developing and shipping native iOS apps. Proficiency in either Swift or Objective-C is required, along with strong software development skills. Experience working across the stack, interacting with web servers and local file systems is necessary. Deep experience with AVFoundation and/or Video ToolBox is a strong plus, as is experience building image and video editing apps.

Candidates must have significant experience optimizing for memory, latency, and throughput in PyTorch, along with experience benchmarking and profiling GPU and CPU code for optimal device utilization. Experience with non-NVIDIA systems, using torch.compile or torch.XLA, and working with transformer models and attention implementations is required. Familiarity with high-performance Triton/CUDA and writing custom PyTorch kernels is preferred, as well as experience with parallel inference, particul…

Candidates should have strong generalist Python skills with significant experience in PyTorch. They must possess recent experience and understanding of visual AI, including diffusion models and transformers, which can come from professional work, academic research, or hobby projects. A passion for experimenting with multi-modal generative AI and familiarity with recent research is essential. Experience with cluster orchestration tools like SLURM and high-performance large-scale ML systems with o…

Candidates must have at least 8 years of experience as an infrastructure engineer or DevOps in large and complex distributed systems. A deep understanding of networking is essential, with bonus points for experience in HPC networking. Experience in developing high-quality software in a general-purpose programming language, preferably Python, is required. Candidates should possess excellent problem-solving skills, attention to detail, and experience with GPUs in large-scale clusters. Strong knowl…

Candidates should have extremely strong technical experience in training Generative AI models. A demonstrated engineering ability in Python and Pytorch is required, along with experience building ML models from scratch in Pytorch. Academic or professional experience with generative multimodal models such as Diffusion Models and GANs, as well as deep learning concepts such as Transformers, is essential. Familiarity with Linux clusters, systems, and scripting is a plus, as is experience working wi…

Candidates should have at least 5 years of engineering experience, including 2 years in petabyte-level data processing. A very strong generalist Python coding skill is required, along with a deep understanding of Kubernetes, SLURM, Ray, and other cluster orchestration systems. Experience with visual data and working closely with machine learning is a strong plus.

Candidates should have significant experience solving hard problems in PyTorch, multimodal data, and distributed systems. Expertise in Python and PyTorch is required, along with practical experience working with the full development pipeline from data processing to training and inference. Experience processing large-scale text data is necessary, and familiarity with interleaved data spanning audio, video, image, and/or text is a bonus. Hands-on experience in developing or benchmarking LLMs, Visi…

Candidates should have significant problem-solving experience in PyTorch, CUDA, and distributed systems. They must have experience training large models using Python and PyTorch, along with practical experience working with the entire development pipeline from data processing to inference. Additionally, candidates should have experience optimizing and deploying inference workloads for throughput and latency, profiling CPU and GPU code in PyTorch, and writing high-performance parallel C++ code. F…