Software Engineer, ML Infra
Mountain View, California, United States
- Pay
USD 180,000–225,000/year · Base — pay source
Annual Base Pay Range $180,000—$225,000 USD CPRA Privacy Notice for California Candidates
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe’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 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.
Design and develop machine learning infrastructure.
Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.
From the employer’s posting
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.
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
What you’ll bring
All qualificationsCore experience
- Experience delivering production systems that support ML use cases (training or serving).
- Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
Preferred experience
- Experience leading cross-team projects from design through stable rollout.
- Experience iterating on ML models and shipping them to production.
Qualification wording
Experience delivering production systems that support ML use cases (training or serving).
Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
Experience leading cross-team projects from design through stable rollout.
Experience iterating on ML models and shipping them to production.
Tools in this posting
- Python
- Java
- C++
Source — Tool mentions in context
- 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
Benefits in the posting
Full benefits wording- 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
- CPRA Privacy Notice for California Candidates
From the employer’s posting.
About NewsBreak
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.
In the employer’s words · Read in context
Job 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
- 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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Annual Base Pay Range $180,000—$225,000 USD CPRA Privacy Notice for California Candidates
- Location & working pattern
Mountain View, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 122
- Last seen by us
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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