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Berkley Hunt
, CA, United States
Overview: Berkley Hunt has partnered with a Series A firm backed by a Tier 1 VC, we are currently seeking a Founding Machine Learning Engineer with a proven track record in designing and deploying ML models and systems. This role is integral to the companies startup mission, focusing on addressing sophisticated challenges in the realms of security,
Job Source: Berkley HuntVoxelCloud
Los Angeles, CA, United States
Company Description Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai Job Description The R&D team (located in Los Angele
Job Source: VoxelCloudFLYR Labs
Los Angeles, CA, United States
Our Vision FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses
Job Source: FLYR LabsFractal
, CA, United States
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only c
Job Source: FractalTripalink Corp
Los Angeles, CA, United States
Location: Hybrid/Remote. Preferred: LA, SF Bay Area, Austin. Job Type: Full-Time Tripalink is a well-funded growth-stage Proptech startup headquartered in Los Angeles backed by prominent technology investors in Silicon Valley and others deeply rooted in the real estate space. We're dedicated to building the next-gen real estate solutions powered
Job Source: Tripalink CorpFanDuel
Los Angeles, CA, United States
ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-depo
Job Source: FanDuelMachina Labs
Los Angeles, CA, United States
Company: Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a Los Angeles-based smart manufacturing company. Leveraging advancements in AI and robotics, Machina Labs develops software-defined factories to create modular manufacturing solutions. The company, backed by major investors in AI and Deep Tech, is currently developi
Job Source: Machina LabsRAND Corporation
Santa Monica, CA, United States
Job Type: Regular Machine Learning Engineer Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring ge
Job Source: RAND CorporationLos Angeles, CA, United States
Responsibilities:
As a Machine Learning Engineer, you will be a crucial member of our development team, working closely with game designers, developers, QA, etc., to find out the low efficiency part of their work, and help them to improve, mostly efficiency. Your primary focus will be on optimizing workflows, using ML AI techniques, and ensuring efficient game development. You will work closely with designers, artist, and programmer to improve the existing pipeline efficiency using the ML AI as a tool. Workflow Optimization: Collaborate with cross-functional teams to analyze current production workflows and identify areas for improvement.
Tools and Pipeline Development: Design, develop, and maintain tools and scripts to automate repetitive tasks, manage assets, and facilitate content creation. Ensure a smooth and efficient content pipeline.
Develop and deploy machine learning models for various applications within video games, such as player behavior predictions, recommendation systems, and procedural content generation.
Create meaningful and relevant features from game data to improve model performance and accuracy.
Performance Optimization: Collaborate with programmers to optimize game performance, including frame rate, memory usage, and load times. Implement solutions to ensure a smooth gaming experience.
Player personalization: Work on personalization strategies, including dynamic difficulty adjustment, player profiling, and adaptive content delivery, to enhance player engagement and retention.
Research and innovation: Stay up to date with the latest trends and developments in machine learning and gaming technology and propose innovative ideas to enhance player experiences.
Foster effective communication and collaboration between different departments, ensuring that everyone is aligned with project goals and timelines.
Requirements:
Bachelor's degree in computer science, Data Science, Machine Learning, or a related field (or equivalent experience).
Strong proficiency in Python, and Machine learning libraries and frameworks (e.g., TensorFlow, PyTorch) and commonly used in game development languages (e.g., C++, C#).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. - Strong communication and interpersonal skills.
Passion for video games and a deep understanding of the gaming industry
Pluses: Previous experience in game development, preferably in a production engineer or similar role.
Familiarity with game engines (e.g., Unity, Unreal Engine) and version control systems (e.g., Git).
Knowledge of 3D graphics and physics principles is a plus.
Familiarity with cloud-based machine learning infrastructure and deployment.
Location State(s)
California
The base pay range for this position in the state(s) above is $123,300 to $225,550 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered.
Machine Learning Engineer jobs in Los Angeles, CA, United States
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