What are the responsibilities and job description for the Software Engineer, ML Infra position at newsbreak?
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
Responsibilities
- Design and develop machine learning infrastructure.
- Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving.
- Proactively address ML infrastructure issues that may impact production.
- Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field with 2 years of relevant work experience; or a Master’s/PhD in a related discipline.
- Familiarity with software development processes, including version control, bug tracking, and design documentation.
- Proficient in Python, with a strong understanding of object-oriented programming and microservices architecture.
- Basic knowledge of Applied Machine Learning and experience with major Deep Learning frameworks, such as PyTorch and TensorFlow.
Preferred qualifications
- Proven track record in building large-scale distributed backend systems.
- Familiarity with cloud services such as AWS, GCP, Azure, and others.
- Contributions to open-source machine learning or infrastructure tools.
- A systematic, data-driven problem-solving approach combined with strong communication skills.
Benefits
We offer competitive benefits package:
- Health, dental, and vision care for you and your family
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- Paid parental leave
- FSA and commuter benefits programs
- Team activity budget
Annual Base Pay Range
$165,000 - $225,000 USD
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Salary : $165,000 - $225,000
