Principal Machine Learning Data Scientist, Generative AI at Xometry | Los Angeles, CA

Join Hadrian - Shaping the Future of ManufacturingAt Hadrian, we are revolutionizing the manufacturing landscape by creating autonomous factories that empower aerospace and defense industries to produce rockets, satellites, jets, and ships up to 10 times faster and at half the cost. Our innovative integration of advanced software, robotics, and comprehensive…

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.

At Raya, we foster a culture of continuous learning and collaboration, empowering our team members to tackle significant challenges and evolve into their best selves. We are seeking a passionate Senior Machine Learning Engineer who is eager to enhance our machine learning, AI, and advanced algorithm applications to elevate the user experience. Our ideal candidate aligns with Raya's mission to enrich lives through meaningful, in-person connections.We provide extensive medical and dental benefits, a daily food delivery budget of $50, equity opportunities, a vibrant workplace culture, professional development prospects, unlimited vacation, 12 weeks of paid parental leave, and an annual $1,000 travel stipend to encourage exploration and foster the values of human connection, empathy, and curiosity.

Join our dynamic R&D team at VoxelCloud, located in the heart of Los Angeles, CA, as we forge innovative advancements in medical imaging technology. Our focus on solutions for disease detection and quantification, risk stratification, image synthesis, and text report mining is at the forefront of healthcare innovation! We are excited to welcome both full-time professionals and interns to contribute to groundbreaking projects.Your Role:Design and develop deep learning models tailored for prototyping and production, in alignment with product feature requests.Implement and evaluate model experiments using prominent deep learning frameworks.Thoroughly document findings and results, providing comprehensive statistics for peer review and discussion (using Confluence).Collaborate with the data team to enhance data collection and annotation processes for efficient in-house data management.Write and optimize production and deployment code (including dockerization) to ensure the highest performance and inference speed of deployed models.Engage in methodological research within deep learning to enable scalable, real-time implementations.

Join our innovative R&D team at VoxelCloud in Los Angeles, CA, where we are dedicated to revolutionizing medical image analysis through cutting-edge deep learning solutions. We are seeking a full-time Machine Learning Engineer to contribute to our model team, focusing on advanced applications in Thorax, Retina, Cardio, and Skin.Key Responsibilities:Develop and refine deep learning models for both prototyping and production based on specific product feature requests.Design, implement, and rigorously test model experiments utilizing leading deep learning frameworks.Document experimental findings comprehensively, providing summary statistics for peer discussions and reviews via Confluence.Advise on data collection and annotation processes, collaborating closely with our data management and labeling team.Write deployment code with a focus on Dockerization, and optimize deployed models for performance and inference speed.Engage in methodological research in deep learning to facilitate scalable, real-time implementations.

Role overview Genies seeks a Senior Machine Learning Engineer specializing in Animation Integration to influence the next generation of animated character experiences. This is an onsite position at Genies LA. What you will do Design and implement machine learning solutions to improve the integration of animated characters across various platforms. Collaborate with engineers and product teams to advance user experiences using animation technology. Lead technical progress in animation by applying innovative machine learning techniques. Who thrives in this role Engineers with substantial machine learning expertise and a genuine interest in animation. Individuals driven to enhance how users engage with animated content.

Join Crunchyroll as a Senior Machine Learning Engineer focusing on Recommendation and Personalization. In this key role, you will leverage cutting-edge machine learning techniques to enhance user experiences through personalized content recommendations. Your expertise will directly contribute to our mission of connecting anime fans with their favorite content.

Genies seeks a Senior Machine Learning Engineer specializing in Animation Modeling to join its Los Angeles team. This role centers on developing and refining machine learning models that power animated digital avatars. Role overview The position focuses on advancing the technology behind avatar animation, directly influencing how users engage with and experience avatars across various platforms. The work involves both building new models and improving existing ones to enhance realism, responsiveness, and interactivity. Location This role is based in Genies' Los Angeles office.

ABOUT CIM GROUP:CIM Group is a visionary real estate and infrastructure company dedicated to enhancing communities through thoughtful investment and development. Established in 1994, our founders have successfully transformed neighborhoods in Southern California, and today, we boast a diverse team of over 900 professionals working on projects across the Americas. Our commitment to delivering sustainable infrastructure and creating vibrant living environments is at the core of our mission. Join us at CIM Group and contribute to making a meaningful impact in the communities we serve.POSITION PURPOSE:As the Senior Machine Learning Operations Engineer, you will spearhead the design and management of secure, scalable infrastructure for machine learning model deployment and lifecycle management. This pivotal role focuses on building and optimizing the firm's ML Ops platform on Databricks, with a strategic emphasis on productionizing Generative AI and Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG) systems and vector database implementations.You will ensure the seamless transition of models from development to production, adhering to regulatory and compliance standards. Collaborating with Data Science, Platform Engineering, Information Architecture, and various business verticals (such as Fund Accounting, Investor Relations, and Investments), you will drive ML insights, improve model accuracy, and manage the ML/AI ecosystem effectively.Beyond technical responsibilities, you will define the ML Ops strategy and architecture, tackling the final hurdles of AI value realization by automating and scaling ML models and Generative AI applications as essential business assets. Your leadership will enhance operational efficiency, improve model accuracy, accelerate time-to-market for AI solutions, and ensure robust governance of machine learning and generative AI initiatives.

Riot Games is at the forefront of creating captivating player experiences through data-driven insights. As a Principal Machine Learning Engineer on the Publishing Platform Data team, you will spearhead the design and implementation of the modeling architecture that enhances personalization, matchmaking, and social interactions within our expansive player community. Collaborating closely with Product, Data Engineering, and Software Engineering teams, you will leverage extensive datasets to develop adaptive AI systems that ensure meaningful connections and equitable gaming experiences.

At Riot Games, our engineers possess a profound expertise in their respective technical domains while thriving on the opportunity to explore a diverse array of projects. As a Staff Software Engineer, you will engage in initiatives that promote team synergy and collaborative goals across various teams. You will lead by influence, exemplifying exceptional engineering practices for your peers. Your mission will be to facilitate the production deployment of machine learning solutions globally for Riot Games. By employing contemporary MLOps methodologies, you will enhance deployment processes, simplify operational tasks, and establish robust infrastructures that empower data scientists, ML engineers, and product teams to deliver impactful results swiftly and with assurance. In this role, you will architect and execute strategies for model deployment, monitoring, and lifecycle management. You will be instrumental in creating vital infrastructures that support diverse AI/ML applications, such as model orchestration, feature stores, and vector databases. Your contributions will facilitate the adoption and operational efficiency of ML and AI across Riot, enabling our game and platform teams to implement high-impact machine learning solutions effectively.

Riot Games is seeking a Senior Manager of Machine Learning Engineering to join the Game Tech Group, focusing on AI Foundations. This role is based in either Los Angeles, CA or Mercer Island, WA. Role overview This leadership position centers on guiding a team of engineers as they develop and refine machine learning technologies for gaming. The work aims to enhance player experiences and advance AI capabilities within Riot’s products. What you will do Lead and mentor a team dedicated to building machine learning systems for games. Shape project direction to advance AI within the gaming space. Supervise the optimization and deployment of AI systems across multiple products. Foster a collaborative atmosphere that values high-quality work and creative problem-solving. Location This position is available in Los Angeles, CA or Mercer Island, WA.

At Genies, we are revolutionizing the way digital identities are represented through advanced AI avatar technology. Our proprietary Genies SDK enables creators to forge fully realized AI personas that embody authentic human-like traits. From AI companions to interactive agents, our technology finds its applications across various sectors including enterprise, consumer, entertainment, and gaming.Having secured $200M in funding from esteemed investors such as Silver Lake, BOND, and Bob Iger, we are committed to shaping the future of digital interaction. With a mission to provide the visual and interactive layer for the next generation of the internet, we empower users to express their authentic selves through AI-driven avatars.We are currently seeking a passionate Senior Machine Learning Engineer to become a vital part of our research and development team. In this role, you will design, develop, and deploy cutting-edge machine learning models that generate high-quality 3D assets for our avatar ecosystem. Collaborating with our talented engineering and creative teams, you will enhance our creator tools with AI capabilities, propelling our vision of transforming digital identity and social experiences.If you are excited about the potential of avatar technology and are eager to tackle complex challenges with innovative solutions, we want to hear from you. Join us in our mission to revolutionize how users engage and express themselves in the digital realm.

Genies is an innovative company specializing in AI avatar technology, creating the visual and embodiment layer for artificial intelligence. Our proprietary Genies SDK enables the transformation of AI into fully realized avatars that emulate human characteristics. Spanning across various applications such as AI companions, non-player characters (NPCs), and agents, we cater to enterprise, consumer, creator, entertainment, and gaming sectors. With significant backing of $200 million from top investors like Silver Lake, BOND, and Bob Iger, we are committed to the vision that every digital platform will feature an AI persona.At Genies, we believe in revolutionizing digital experiences through our cutting-edge technology. Our core principles, “Anyone can create anything” and “Everything works with everything,” empower users to generate limitless content. This fosters an engaging social gaming environment enriched by user-generated content (UGC) and AI avatars, which we refer to as “Parties.”Our technology suite includes advanced UGC tools that allow users to design AI avatars with customizable fashion, props, behaviors, and personalities, as well as immersive experiences. At the heart of our platform are comprehensive Software Development Kits and Cross-Platform Frameworks that leverage machine learning and computer graphics to ensure seamless integration across all user-generated and AI-generated content.We have garnered a diverse clientele, including icons such as Justin Bieber, Rihanna, J Balvin, and Migos, alongside many others. With offices located in Los Angeles and San Francisco, Genies is positioned at the forefront of the AI revolution.We are currently seeking a passionate Machine Learning Engineer Intern to join our dynamic team and contribute to our research and development initiatives. In this role, you will play a key part in designing, developing, and deploying machine learning models that generate high-quality 3D assets for our avatar creation ecosystem. By collaborating with our engineering and creative teams, you will integrate AI and machine learning capabilities into our tools and product offerings. This is an exciting opportunity to be part of a pioneering startup that is shaping the future of consumer creativity and self-expression.

Genies is a cutting-edge AI avatar technology company that is revolutionizing the visual representation of AI. With our proprietary SDK, we enable the creation of lifelike AI personas that think, behave, and interact just like real individuals. Our technology supports a wide range of applications including AI companions, non-player characters (NPCs), and intelligent agents across sectors such as enterprise, consumer services, content creation, entertainment, and gaming. Backed by a robust $200M investment from industry leaders like Silver Lake, BOND, and Bob Iger, Genies is driven by the vision that every digital platform will feature an AI persona.We are seeking a talented Machine Learning Engineer Intern to join our R&D team this summer at either our Los Angeles or San Mateo offices (Hybrid work environment). Collaborating with a skilled team of technical artists and engineers, you will delve into innovative concepts and technologies that support our mission of enabling users to create their own avatar ecosystems. This internship is perfect for someone with a passion for high-quality visuals and a solid technical foundation to help shape the future of digital identity.Your Responsibilities:Develop tools and workflows to facilitate the training and experimentation of multi-view generation models.Investigate methods to enhance multi-view consistency in generated outputs for coherent geometry and texture reconstruction.Prototype and assess models that improve the integration of 2D generation with subsequent 3D reconstruction pipelines.Benchmark model results and analyze to identify failure points and areas for enhancement.Collaborate with engineers and researchers across graphics, ML, and avatar systems, presenting your findings and recommendations.Your Qualifications:Currently enrolled in or recently graduated from a Master's or PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Solid understanding of machine learning principles and contemporary computer vision techniques.Proficiency in programming languages such as Python, along with experience in machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).Ability to conduct research and prototype solutions informed by academic literature.Strong problem-solving skills with the capability to work independently as well as collaboratively in a team environment.

Join Freeform Future Corp as a Principal Machine Learning Researcher specializing in Physical AI. In this pivotal role, you will lead innovative research projects that push the boundaries of machine learning applications in physical systems. Collaborate with a team of talented researchers and engineers to develop cutting-edge algorithms and models that enhance our understanding of physical phenomena.As the Principal Machine Learning Researcher, you will have the opportunity to influence the direction of our research initiatives, mentor junior team members, and engage with industry leaders to drive impactful outcomes.

As a Senior Manager of Machine Learning Engineering within the Anti-Cheat division at Riot Games, you will be at the forefront of combating unfair play. Our engineering managers are not only technical leaders but also champions of their teams, fostering an inclusive and growth-oriented environment. Your role will involve making informed architectural choices and ensuring that the quality of technical decisions enhances our service to players.The Anti-Cheat team is pivotal in safeguarding the integrity of our games against cheaters. Comprising a diverse group of experts—ranging from former cheaters to machine learning engineers—we develop innovative solutions like Vanguard to detect and eliminate unfair players across all titles and platforms. In your capacity as Senior Manager, you will lead multiple teams, including Data Analytics, Data Engineering, and Machine Learning Engineering, to operationally support and advance our anti-cheat initiatives.You will be responsible for setting the strategic direction of your teams, optimizing their structure for success, and ensuring alignment with game development teams. Your contributions will be crucial in translating product objectives into actionable technical strategies and in fostering collaboration across departments. Your success will be evaluated through the fairness of our competitive ladders and the effectiveness of anti-cheat measures.

Genies is a pioneering company in AI avatar technology, driving the visual and embodiment layer for artificial intelligence. With the innovative Genies SDK, our proprietary avatar framework brings AI to life as fully realized personas that think, behave, and interact like real individuals. Our technology powers use cases for AI companions, non-player characters (NPCs), and agents across various sectors including enterprise, consumer, creator, entertainment, and gaming. Backed by an impressive $200M in funding from leading investors like Silver Lake, BOND, and Bob Iger, we are founded on the vision that every digital platform, game, brand, and individual will incorporate an AI persona.We are currently seeking a Machine Learning Engineering Intern to join our R&D team this summer in our Los Angeles office (Hybrid). You will collaborate with a talented group of technical artists and engineers to explore and develop cutting-edge concepts and technologies that advance Genies' mission of enabling users to create their own avatar ecosystems. We are looking for individuals who are passionate about crafting high-quality visuals and possess the technical expertise needed to drive the next evolution of digital identity.

Join Riot Games as a Technical Producer II in our League Studio, where you'll lead dynamic technical teams dedicated to enhancing developer and player experiences. Your role will involve steering the Game Machine Learning team—a collective of data scientists focused on machine learning initiatives and data-driven products for League of Legends and Teamfight Tactics. Collaborating closely with Product and Machine Learning Engineering Leads, you’ll be pivotal in the development of systems such as matchmaking, recommendation engines, and personalization features. In this capacity, you will set clear team objectives, manage daily operations, and uphold effective delivery processes while fostering a sustainable and collaborative work environment. Your oversight will ensure that projects are executed smoothly, maintaining alignment with broader business goals and providing leadership with visibility into complex deliverables. Reporting directly to the Manager of Technical Production, your contributions will be integral to the team's continuous improvement and success.