Multimodal Machine Learning Engineer
6 days ago
About NewsBreak
NewsBreak is a pioneering local news app that's revolutionizing the way users interact with their communities. By bridging local users, content creators, and businesses, our mission is to foster safer, more vibrant, and authentically connected lives.
With a remarkable trajectory since our inception in 2015, we proudly stand as the nation's premier local news app. Our headquarters is nestled in the tech hub of Mountain View, California, with offices in New York City and Seattle.
About the Role
We're seeking a highly skilled Machine Learning Engineer with expertise in multimodal and NLP technologies to join our team. As a researcher in the multimodal/NLP field, you'll have the opportunity to make a significant impact with advanced technologies and innovate in automated content generation for various modalities.
Responsibilities
- Develop multimodal content 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.
- 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
- 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.
Annual Base Pay Range
$130,000-$260,000 USD
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