Forward Deployed Engineer - LLM Post-training

Highlights

• Adapt open-weight models for enterprise domains and deploy to production.
• Build eval suites to prove fine-tuned models improve customer tasks.
• Partner directly with customers and research to push what's possible.

What they offer

• Salary and equity with stock options
• Comprehensive medical, dental, vision and life insurance plus wellness allowance
• Lunch and dinner provided in office daily
• 22 weeks paid parental leave
• Unlimited PTO in US, 30 days in UK
• Visa sponsorship and immigration support
• Regular off-sites, happy hours and team celebrations

Ideal candidate

Customer-obsessed ML engineer who thrives in fast startups and loves turning messy real-world data into useful models. High-agency owner excited to shape open models with direct customer impact.

Requirements

• 3+ years engineering experience with applied ML or ML engineering
• Hands-on fine-tuning of language models including SFT, DPO, RLHF or similar
• Understanding of evaluation methodology and training diagnostics
• Comfort with training infrastructure, GPUs and debugging training failures
• Strong Python fundamentals with clean, reproducible code and data pipelines
• Ability to work customer-facing and translate domain needs into training strategies
• Self-starter with high agency thriving in fast-paced startups