NewsBreak

Machine Learning Engineer, LLM Post-Training

Mountain View, California, United States · Mid · Full-time

Sponsorship not specified$150k-$230kDetected 42 days ago

Machine LearningPyTorchData EngineeringLLMsResearchCommunication

About the role

Just as important, you will work directly with product and business teams to translate real-world use cases into concrete training objectives and ship model improvements quickly.
This is a high-ownership role for someone who has actually trained models, not just read about it.

Design, build, and curate the data that drives each training stage - instruction/SFT datasets, preference pairs, reward signals, on-policy rollouts, and rejection-sampled completions - and define data-preparation strategies tailored to specific business needs.
Partner closely with business and product stakeholders to understand their scenarios, rapidly convert requirements into training plans, and deliver targeted model capabilities on tight timelines.
Build and maintain evaluation and reward/verifier pipelines to measure model quality, prevent regressions, and ensure training-serving consistency.
You will own the full post-training stack - continuous pre-training (CPT), supervised fine-tuning (SFT), and RL - along with the data preparation that powers it.
At NewsBreak, we design our overall rewards package to attract top talents.

Hands-on LLM post-training experience.
You have personally run CPT, SFT, and RL training - with demonstrated, practical RL experience (RLHF / PPO / GRPO / DPO or similar), beyond just launching training scripts.
Proven large-scale GPU training ability.
You have trained LLMs on mid-to-large GPU hardware and are comfortable with distributed training and debugging at scale.

Experience designing reward models or rule-based verifiers for RL.
Experience with tool-use / agentic model training (function calling, multi-step planning).
Publications or open-source contributions in LLM post-training or RL.

We offer a competitive benefits package:
Health, dental, and vision care for you and your family (100% coverage for employee)
Paid time off and paid holidays
FSA, HSA and commuter benefits programs
Depending on the position, the role may also be eligible for discretionary bonus and options.
Lead post-training of our LLMs across the full pipeline: continuous pre-training, SFT, and reinforcement learning, with RL as the primary focus (e.g., RLHF, PPO, GRPO, DPO, and related methods).
We are looking for a hands-on Machine Learning Engineer to drive the post-training of our large language models, with a strong emphasis on reinforcement learning (RL).
Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training.

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

This listing is sourced directly from NewsBreak's careers page and normalized into a canonical job model.