Newsbreakdigest
Machine Learning Engineer, NLP and multimodal Mountain View, California, United
Newsbreakdigest, Mountain View, California, us, 94039
Machine Learning Engineer, NLP and multimodal
Mountain View, California, United States About NewsBreak
NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nation, NewsBreak is revolutionizing how a new wave of readers access and engage with essential, locally sourced content & information. Since our inception in 2015, our trajectory has been nothing short of remarkable. We proudly stand as the nation’s premier local news app. As a Series-C unicorn startup, our headquarter nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. For more information, visit
www.newsbreak.com/about . Location: Onsite 4 days in Mountain View, CA office About the Role
Are you a machine learning engineer inspired to innovate with multimodal and NLP technologies, aiming to impact tens of millions of users? Do you have a deep passion for applying the latest technology to solve real-world problems? We're on the lookout for a researcher in the multimodal/NLP field who is eager to make a significant impact with advanced technologies. Responsibilities
Develop multimodal content (including video, audio, image and text) understanding and user understanding technologies based on multimodal and LLM technology. Innovate in automated content generation for various modalities like video, audio, image and text. Devise new solutions to enhance search and chat experiences, and pioneer new products centered around generative AI. Requirements
MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/CV/Video Processing/Audio Processing/Recommendation System/Advertising Algorithm/NLP). Expert knowledge in Python and Java/Go. Familiarity with data storage types, such as MongoDB, Redis, SQL, etc. A strong passion for emerging technologies and a proven track record in analytical and problem-solving skills. Excellent communication, teamwork, and project management skills are highly valued. Publications in Machine Learning and LLM are preferred. Benefits
We offer a competitive benefits package: Health, dental, and vision care for you and your family (100% coverage for employee). Top-tier 401(K) plan with company matching. Paid time off and paid holidays. FSA, HSA and commuter benefits programs. Team activity budget. The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
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Mountain View, California, United States About NewsBreak
NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nation, NewsBreak is revolutionizing how a new wave of readers access and engage with essential, locally sourced content & information. Since our inception in 2015, our trajectory has been nothing short of remarkable. We proudly stand as the nation’s premier local news app. As a Series-C unicorn startup, our headquarter nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. For more information, visit
www.newsbreak.com/about . Location: Onsite 4 days in Mountain View, CA office About the Role
Are you a machine learning engineer inspired to innovate with multimodal and NLP technologies, aiming to impact tens of millions of users? Do you have a deep passion for applying the latest technology to solve real-world problems? We're on the lookout for a researcher in the multimodal/NLP field who is eager to make a significant impact with advanced technologies. Responsibilities
Develop multimodal content (including video, audio, image and text) understanding and user understanding technologies based on multimodal and LLM technology. Innovate in automated content generation for various modalities like video, audio, image and text. Devise new solutions to enhance search and chat experiences, and pioneer new products centered around generative AI. Requirements
MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/CV/Video Processing/Audio Processing/Recommendation System/Advertising Algorithm/NLP). Expert knowledge in Python and Java/Go. Familiarity with data storage types, such as MongoDB, Redis, SQL, etc. A strong passion for emerging technologies and a proven track record in analytical and problem-solving skills. Excellent communication, teamwork, and project management skills are highly valued. Publications in Machine Learning and LLM are preferred. Benefits
We offer a competitive benefits package: Health, dental, and vision care for you and your family (100% coverage for employee). Top-tier 401(K) plan with company matching. Paid time off and paid holidays. FSA, HSA and commuter benefits programs. Team activity budget. The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
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