Synthires

Machine Learning Research Engineer – LLMs (Remote | $100 –$120/hr)

Synthires

Anywhere•Remote•Salary•3-6 Yrs•6 days ago

Remote

LLM Research Scientist (Pre-training & Post-Training)

Train transformer-based language models from scratch and fine-tune open-weight foundation models.
Design and optimize pre-training and post-training pipelines for large language models.
Construct, curate, and optimize large-scale training datasets from raw web and other data sources.
Develop data filtering, deduplication, quality classification, and curriculum learning strategies.
Diagnose and resolve optimization failures, convergence issues, and training instabilities.
Build and evaluate supervised fine-tuning (SFT), preference optimization (DPO, RLHF, RLAIF), and reward modeling pipelines.
Design evaluation benchmarks and analyze model performance using rigorous experimental methodologies.
Collaborate with AI researchers to improve model reasoning, alignment, efficiency, and overall performance.

3+ years of machine learning research experience (PhD research qualifies).
Strong expertise in one or more of the following areas:
Foundation Model Pre-training
LLM Post-Training
Large-Scale Data Curation
Reinforcement Learning for LLMs
Model Alignment and AI Safety
LLM Evaluation and Benchmark Development
Strong experience with PyTorch, JAX, TensorFlow, or similar machine learning frameworks.
Deep understanding of transformer architectures, large language models, optimization techniques, and modern deep learning methodologies.
Strong Python programming skills.
Excellent analytical, research, and scientific communication skills.
Ability to work independently in a remote research environment.
Scaling Laws
Curriculum Learning
LLM Evaluation
Reinforcement Learning
AI Alignment
AI Safety Research
Publications in leading AI conferences or significant open-source contributions.
Competitive compensation of $100–$120/hour.
Weekly payments.
Independent contractor engagement.
Upload Resume
Complete an AI Interview Based on Your Resume
Submit Application

PhD in Computer Science, Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field.
Degree from a Top-100 university, experience at a FAANG or leading AI company, or an equivalent research track record through publications or impactful open-source contributions.

Browse Jobs