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Machine Learning Engineer, NLP and multimodal

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: NewsBreak
Full Time position
Listed on 2026-01-12
Job specializations:
  • Engineering
    AI Engineer
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Machine Learning Engineer, NLP and multimodal

Mountain View, California, United States

About News Break

News Break 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, News Break 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 headquarters nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. For more information, visit

Location:

Onsite 5 days in Mountain View, CA office

About the Role

We are seeking a talentedMultimodal Machine Learning Engineerto join our fast-growing machine learning team. Our company develops a range of products that leverage multimodal signals—includingaudio, 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 acrossvideo, 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 asLarge Language Models, Diffusion Model, Computer Vision, Video Processing, Audio/Speech Processing.
  • Proficiency in programming languages such asPython.
  • Familiarity with databases and data storage solutions likeMongo

    DB, 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, includingpublicationsin 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.
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 News Break, 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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