AI/ML Research Engineer, LLM Post-Training & Evaluation
full-time
Entry, Mid Level
Salary
Around average
Ghost Score
No category data
Freshness
Posted 1 weeks ago
Required Skills
Machine Learning Engineering
Large Language Models (LLMs)
Multimodal Model Training
Evaluation
Fine-tuning of Foundation Models
Supervised Fine-tuning (SFT)
Preference Optimization e.g.
Preference Optimization DPO
Reinforcement Learning from Human Feedback (RLHF)
Python Programming
ML Frameworks PyTorch
ML Frameworks JAX
ML Frameworks TensorFlow
Hugging Face Ecosystem
Distributed Training Systems
Evaluation Pipeline Design
Experiment Tracking
Reproducibility
Data Pipeline Engineering
Large-scale Distributed ML Systems
Performance Optimization for ML Workloads
Scalable Dataset Workflows
CI/CD for ML Systems
2+ years experience
Job Description
Match: 75% | Exp: 100% | Skill: 51% | Industry: 65%
Ghost Score Breakdown
Very short description
+ ptsNo company logo
+ ptsVery fresh posting (0-3 days)
+ ptsSalary range disclosed
+ ptsKnown scam/ghost company
Reposted listing
Expired deadline
High job-to-employee ratio
Overall: 7/100Low Ghost Risk
Application Tips
- This position offers a salary of $166K/yr - $195K/yr.
- Top skills mentioned: Machine Learning Engineering, Large Language Models (LLMs), Multimodal Model Training. Make sure your resume highlights these.
- This listing shows strong signals of being a real opportunity — apply with confidence.