Machine Learning Engineer, LLM Post-Training

Location: Mountain View, California, United States

Annual base salary: $150,000–$230,000 USD

Company

hirify.global is a content intelligence platform delivering personalized local news and information through AI, recommendation systems, and adtech.

What you will do

• Lead LLM post-training across continuous pre-training, supervised fine-tuning, and reinforcement learning, with emphasis on RLHF, PPO, GRPO, DPO, and related methods.
• Design and curate instruction, preference, reward, rollout, and rejection-sampled datasets for specific product and business scenarios.
• Work with product and business stakeholders to translate use cases into training plans and targeted model capabilities.
• Run large-scale training on mid-to-large GPU clusters using data parallelism, FSDP, and tensor or pipeline parallelism where appropriate.
• Build evaluation, reward, and verifier pipelines to measure quality, prevent regressions, and maintain training–serving consistency.
• Convert relevant post-training research into production-ready code.

Requirements

• Hands-on experience personally running CPT, SFT, and RL training for LLMs, including practical experience with RLHF, PPO, GRPO, DPO, or similar methods.
• Ability to independently design ML data-preparation strategies, including sourcing, cleaning, filtering, labeling, and synthetic or preference data generation.
• Experience training LLMs on mid-to-large GPU hardware and debugging distributed training at scale.
• Strong PyTorch fundamentals and working familiarity with Hugging Face TRL, Accelerate, DeepSpeed, FSDP, or vLLM.
• Understanding of tokenization, attention, chat templates, and common alignment or agent-training failure modes.
• Strong communication skills and a focus on rapid iteration and business impact.

Nice to have

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

Culture & Benefits

• Health, dental, and vision coverage for employees and families, with 100% employee coverage.
• 401(k) plan with company matching.
• Paid time off and paid holidays.
• FSA, HSA, and commuter benefits.
• Team activity budget.