Software Engineer, ML Infra (Junior & New Grad) at NewsBreak

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

175000.0

Posted On

06 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Java, Machine Learning, Deep Learning, PyTorch, TensorFlow, Cloud Services, Data-Driven Problem Solving, Communication Skills, Version Control, Bug Tracking, Design Documentation

Industry

Software Development

Description

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 About the role: We’re hiring a Machine Learning Infrastructure Engineer to help build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products. You’ll join a small, high-ownership team that ships platform improvements end-to-end—partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model. You’ll work across the ML lifecycle: making training faster and more reliable, improving model serving performance, and strengthening our feature/embedding platform so models stay fresh and consistent between offline and online use. We’re looking for someone who can take real ownership, finish what’s started, and raise the bar on stability and developer experience. Why this role Scope & impact: small team, big surface area—your work lands directly in production. Ownership: from design to rollout to post-launch learnings; real autonomy with support. Growth: visibility across the stack and a clear path to lead projects and mentor others. Pragmatic culture: we optimize for outcomes over buzzwords, and we value clear thinking, and follow-through. If you like building reliable systems that make ML teams move faster—and you enjoy turning complexity into simple, durable solutions—we’d love to talk. 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 languages such as C++ or Java Basic knowledge of Applied Machine Learning and experience with major Deep Learning frameworks, such as PyTorch and TensorFlow. Preferred qualifications 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. 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 $125,000—$175,000 USD CPRA Privacy Notice for California Candidates

Responsibilities

Design and develop machine learning infrastructure while owning and enhancing core components of the ML infrastructure. Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.