热门公司

招聘

职位NewsBreak

Senior Machine Learning Engineer, Recommendation & AI Applications

NewsBreak

Senior Machine Learning Engineer, Recommendation & AI Applications

NewsBreak

Mountain View, California, United States

·

On-site

·

Full-time

·

1mo ago

必备技能

Machine Learning

About News Break

Founded in 2015, News Break 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 are looking for a Senior Machine Learning Engineer to help evolve our large-scale recommendation systems and apply AI / LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity. This role is ideal for engineers who enjoy strong individual ownership, hands-on development, and translating ideas into reliable systems.

What You’ll Work On

Large-Scale Recommendation Systems

  • Design, build, and iterate on high-throughput, low-latency recommendation systems powering News Break’s core feeds.

  • Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.

  • Own systems from offline training → online inference → A/B experimentation → metric analysis.

  • Identify and resolve issues related to data quality, model drift, and system performance in production.

AI & LLM Applications

  • Apply LLMs and foundation models to recommendation-related problems such as content understanding, user intent modeling, and feature generation.

  • Prototype quickly, validate with experiments, and push successful ideas into production.

AI-Driven Development

  • Embrace AI-assisted development workflows, including LLM-powered coding, debugging, and analysis.

  • Apply AI across feature ideation, prototyping, and experiment analysis.

0 1 Innovation

  • Contribute to 0–1 AI-powered projects, helping take ideas from early exploration to MVP and production.

What We’re Looking For

Minimum Qualifications- 3**+ years of industry experience** building machine learning or recommendation systems in production.

  • Strong understanding of recommendation system fundamentals(ranking, embeddings, user/item modeling, experimentation).
  • Strong coding skills with Python / Java / Scala, and experience with Py Torch or Tensor Flow.
  • Experience working with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference).
  • Ability to own features end-to-end and deliver measurable business impact.

Bonus / Plus Qualifications- Production experience applying AI or LLMs to recommendation systems.

  • Experience contributing to0 → 1 AI or ML-driven products.
  • Familiarity with AI-assisted development tools and workflows.

Benefits

We offer a competitive benefits package:

  • Health, dental, and vision care for you and your family (100% coverage for employee)

  • Top-tier 401(K) plan with company matching

  • Paid time off and paid holidays

  • FSA, HSA 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 News Break, 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**$195,000—$230,000 USD**

CPRA Privacy Notice for California Candidates:

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于NewsBreak

NewsBreak

NewsBreak

Series C

NewsBreak is a local news aggregation platform that uses AI to personalize news content for users based on their location and interests.

501-1,000

员工数

Mountain View

总部位置

$1.2B

企业估值

评价

4.0

10条评价

工作生活平衡

3.8

薪酬

2.7

企业文化

4.2

职业发展

2.5

管理层

4.0

72%

推荐给朋友

优点

Flexible working hours

Supportive team and management

Good work environment and culture

缺点

Limited growth and slow promotion process

Compensation and salary issues

High workload and overwhelming expectations

薪资范围

0个数据点

Intern

Intern · Data Scientist

0份报告

$169,150

年薪总额

基本工资

-

股票

-

奖金

-

$143,788

$194,512

面试经验

1次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

新闻动态

Natalie Portman Announces Third Pregnancy at 44 With Boyfriend Tanguy Destable

Actress Natalie Portman has officially confirmed her third pregnancy, triggering a simultaneous surge in search interest across major countries worldwide as of April 18, 2026. Google Trends data shows over 30,000 searches in France, over 20,000 in the United States, and over 10,000 each in the United Kingdom and Canada within a short window. # Third Pregnancy Officially Confirmed Natalie Portman and her boyfriend Tanguy Destable are expecting their first child together. Portman is also the mot

Reddit

·

6d ago

·

1

Planning for an unwelcome exit

I’m in a peculiar position that I’m trying to plan ahead. Also, partly just venting cause I’m pretty bummed. TLDR : district manager, changing terms of employment without discussion. Probably going to resign. I wanna make sure that my resignation leaves the kind of paper trail that the folks I’m leaving can use if they have to make complaints above district Manager’s head. Any tips? I’ve always been a worker bee, not the queen bee. So I want to make sure I hit a good tone. I have a license th

Reddit

·

1w ago

·

3

·

12

[Nobel Literature Prize] April's fools! Or not, but many people wish it was. The 2016 Literature Nobel royal rumble, Bob Dylan, and the primordial question: does songwriting belong to literature?

There should be a law forbidding anything from happening on a first of April. Make a decision in any sort of way? You'll have to explain how no, this isn't a trick. Leak information about the upcoming Pokemon game? Nobody will believe you, mate, good bit of fun though. Be born on a first of April? My goodness, be ready to come across thousands of remarks and jabs, subtly hinting at how your entire existence is a bad joke. Alas, the world isn't fair, and things happen when they shouldn't. Take

Reddit

·

3w ago

·

237

·

44

CTV NEWS BARRIE Newsbreak for Friday, March 27 - CTV News

CTV News

News

·

4w ago