Machine Learning Engineer, NLP and multimodal

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

Location: Onsite 5 days in Mountain View, CA office

About the Role

We are seeking a talented Multimodal Machine Learning Engineer to join our fast-growing machine learning team. Our company develops a range of products that leverage multimodal signals—including audio, video, text, and images—to deliver cutting-edge AI-powered experiences. As part of our team, you will play a crucial role in advancing machine learning and generative AI technologies to enhance user engagement and drive innovation across our products. With strong organizational support, a clear vision, and a vast scope of impact, this role provides the opportunity to tackle real-world challenges, pioneer transformative solutions, and shape the future of multimodal AI. We foster a dynamic and collaborative research environment that encourages innovation with state-of-the-art technologies and novel ideas. If you're passionate about pushing the boundaries of AI and multimodal learning, we invite you to be a part of our journey.

Responsibilities

• Design and develop state-of-the-art multimodal AI solutions for understanding and generating content across video, image, audio/speech.

• Create innovative technologies to improve automated content generation for multiple modalities.

• Contribute to the development of new AI-driven products and tools that push the boundaries of multimodal machine learning.

Requirements

• MS degree with 2+ years of experience or a PhD in Computer Science, Machine Learning, or a related field.

• Strong background in machine learning technologies, such as Large Language Models, Diffusion Model, Computer Vision, Video Processing, Audio/Speech Processing.

• Proficiency in programming languages such as Python.

• Familiarity with databases and data storage solutions like MongoDB, Redis, and SQL.

• A strong passion for emerging technologies, with demonstrated analytical and problem-solving abilities.

• Excellent communication, teamwork, and project management skills.

Preferred

• A proven research record, including publications in top machine learning/AI transactions/conference.

Why Join Us?

• Work on impactful, cutting-edge technologies that reach tens of millions of users.

• Collaborate with a team of passionate AI researchers and engineers.

• Opportunity to pioneer innovative AI products in a fast-growing domain. If you're passionate about shaping the future of multimodal machine learning and generative AI, we'd love to hear from you!

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.
Annual Base Pay Range
$130,000—$260,000 USD

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