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Principal Machine Learning Engineer - Roblox Large Model

Posted today

robloxSan Mateo (CA)

SENIORITY

Senior

SALARY

$283,780—$331,640

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About the role

As a Machine Learning Engineer on the Roblox Large Model team, you will play a pivotal role in shaping the future of AI-driven creation. Your responsibilities will revolve around leveraging cutting‐edge machine learning techniques to develop multimodal large models capable of serving a diverse set of Roblox use‐cases such as content creation, better personalization, improved platform safety, etc. You WillDesign and implement machine learning algorithms that can seamlessly operate across multimodal data such as text, images, audio, and others Take the lead in researching state‐of‐the‐art techniques, stay on the forefront of multimodal machine learning and contribute back to the community through publications and presentations Undertake the critical task of processing multimodal datasets to leverage high‐quality input datasets for model training and evaluation Leverage generative modeling techniques, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to create rich and expressive generative systems that produce novel, engaging, and aesthetically pleasing content Integrate Language Models for natural understanding capabilities, enabling the multimodal models to comprehend and generate content with enhanced linguistic richness Keep abreast of ethical considerations and ensuring responsible AI practices in model development Communicate with the industry and communities where applicable and be ambassador for RobloxReport to the Roblox Large Model team Manager You HaveWorked directly with the ML Infrastructure and Platform teams to identify opportunities to further improve and optimize the tools and solutions that benefit entire RobloxIn‐depth knowledge of deep learning architectures, especially those tailored for generative tasks, and experience with training and fine‐tuning such models using frameworks such as TensorFlow, PyTorch, etc. Built data processing pipelines needed to train and evaluate ML models using frameworks such as Spark, Airflow, Ray, etc.5+ years of experience designing and building scalable machine learning solutions Bachelor's or Advanced degree in Computer Science, Artificial Intelligence, Data Science or a similar technical field CompensationAnnual Salary Range$283,780—$331,640 USDRoles that are based in our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job‐related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full‐time employees are also eligible for equity compensation and for benefits. Roles that are based in our San Mateo, CA Headquarters are in‐office Tuesday, Wednesday, and Thursday, with optional in‐office on Monday and Friday (unless otherwise noted).You'll Love Industry‐leading compensation package Excellent medical, dental, and vision coverage A rewarding 401(k) program Flexible vacation policy Roflex – Flexible and supportive work policy Roblox Admin badge for your avatar At Roblox HQ:Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks Onsite fitness center and fitness program credit Annual CalTrain Go PassRoblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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