Software Engineer, ML Infra
Company websitenewsbreak.com (NewsBreak, opens in new tab)
Base salary $180K to $225K
Employer-published annual base salary, USD. Advertised base range in Mountain View, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (18 min ago) · observed since
About this job
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
Source: NewsBreak on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 51% of the 4,308 Software Engineering roles in California listed on this site; 176 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,250.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSoftware Engineer, ML Infra$180K to $225K
Head of Growth & Go-to-Market$180K to $340K
Head of Content & Supply$180K to $240K
Strategy & Ventures Lead$180K to $240K
Senior Machine Learning Engineer, User Signal & Ads$185K to $235K
Nearby AI Business Growth Lead$175K to $205K
Senior Data Infra Engineer$175K to $221K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer, ML Infra (this listing) | $180K - $225K |
| Head of Growth & Go-to-Market | $180K - $340K |
| Head of Content & Supply | $180K - $240K |
| Strategy & Ventures Lead | $180K - $240K |
| Senior Machine Learning Engineer, User Signal & Ads | $185K - $235K |
| Nearby AI Business Growth Lead | $175K - $205K |
| Senior Data Infra Engineer | $175K - $221K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2024-10-09
Where this pay comes from
Location as the employer wrote it: Mountain View, California, United States
USD 180,000 – 225,000 · interval unstated · pay_input_range · Annual Base Pay Range
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.