🛠 Tech Stack

💼 About This Role

You'll fine-tune Reflection's open-weight models for enterprise customers' specific domains, building evaluation infrastructure and deploying models to production. You will work hands-on with customer data, run fine-tuning workflows, and debug training issues while contributing to best practices. This role offers direct impact on customer success and collaboration with top AI researchers.

🎯 What You'll Do

• Fine-tune models using SFT, DPO, and reinforcement fine-tuning.
• Build and maintain evaluation suites and test sets.
• Prepare and clean training data from raw customer inputs.
• Debug training and inference issues in production.

📋 Requirements

• 3+ years of applied ML or ML engineering experience.
• Hands-on experience fine-tuning language models with SFT, DPO, or RLHF.
• Strong Python skills and clean, reproducible code.
• Comfort with training infrastructure (GPUs, debugging training failures).

✨ Nice to Have

• Experience with customer-facing roles and translating domain requirements.
• Familiarity with data pipelines and version control for datasets.

🎁 Benefits & Perks

• 💰 Top-tier salary and equity
• 🏥 Comprehensive medical, dental, vision insurance
• 👶 Fully paid parental leave
• 🍱 Daily lunch and dinner provided
• 🏖️ Paid time off and relocation support

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3On-site interviews· 4 hours