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About the Role
As a Post-Training Engineer, you will transform Profound’s proprietary answer-engine data into models that demonstrably improve at tasks critical to our customers, such as analyzing AI visibility, attributing citations, classifying sentiment, verifying claims, utilizing tools, and executing long-horizon agentic workflows. You will own the entire process, from dataset creation to reward design, training, and deployment, then monitor performance with real customers to inform the next iteration.
Responsibilities
- Turn Profound’s answer-engine data (prompts, responses, citations, query fanouts) into high-quality training datasets
- Build and iterate on SFT, preference optimization, and RL pipelines
- Design reward signals that reflect customer value, including reward models, LLM judges, and verifiable rewards
- Train models for tool use and long-horizon agentic workflows with product teams
- Collaborate with the Evals team to define and enforce model performance standards
- Prototype new methods on existing infrastructure and deploy successful ones to production
- Ship trained models, manage their production performance, and use feedback to drive the next training cycle
Requirements
- Exceptional software engineering skills in Python and PyTorch
- Hands-on post-training experience (SFT, RLHF, DPO, GRPO, or similar RL methods)
- Experience with distributed training (e.g. FSDP, DeepSpeed, Ray; Kubernetes or Slurm)
- Strong instincts for evaluation and identifying misleading metrics
- A track record of owning work end to end, from experiment to shipped model
- Strong opinions about model behavior and awareness of current research
- Comfortable operating in a fast-paced startup environment with rapid iteration cycles
Skills
- Python
- PyTorch
- JAX
- SFT
- RLHF
- DPO
- GRPO
- RL methods
- Distributed training
- FSDP
- DeepSpeed
- Ray
- Kubernetes
- Slurm
- Agentic workflows
- Tool use
- Reward model design
- Retrieval models
- Search-grounded models
Location
- NYC
- SF
Work Type
- On-site
- Full-time
Experience Level
- Mid-level
- Senior
Education Level
- Publications at venues like NeurIPS, ICML, ICLR, MLSys, ACL, or EMNLP (Nice to have)
Salary/Compensations
- $230,000 to $325,000
Benefits
- Equity
- Full range of benefits and perks
About the Company
- Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma.
- Profound is where marketing teams do their work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load.
- Profound’s AI Marketer joins data from 2B+ real user prompts and growing with deep context about customers to find opportunities and automate tasks like reporting, content drafting, competitive research, and more.
- The platform measures what works and improves daily.