Job description

About NewsBreak Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code. Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn. Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company ’s Best Workplaces for Innovators (2025) and Fortune ’s Best Workplaces in the Bay Area™ (2026). Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us. Learn more at: NewsBreak, Nearby AI, NDot AI 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 Education: Bachelor's degree in a related field with 5+ years of relevant experience, or MS/PhD in a related field with 3+ years of relevant experience Experience delivering production systems that support ML use cases (training or serving). Proven track record in building and maintaining large-scale distributed backend systems Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java Strong problem solving skills with good teamwork and communication skills Preferred qualifications Experience leading cross-team projects from design through stable rollout. Experience iterating on ML models and shipping them to production. 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 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 $180,000 — $225,000 USD CPRA Privacy Notice for California Candidates

Requirements

Must-haves

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.
Education: Bachelor's degree in a related field with 5+ years of relevant experience, or MS/PhD in a related field with 3+ years of relevant experience
Experience delivering production systems that support ML use cases (training or serving).
Proven track record in building and maintaining large-scale distributed backend systems
Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
Strong problem solving skills with good teamwork and communication skills
Team activity budget

Nice-to-haves

Experience leading cross-team projects from design through stable rollout.
Experience iterating on ML models and shipping them to production.

Application prep

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Keywords to mirror

goaimachine learningmlpythonjava

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave