Meta Software Engineer III – AI & LLM Research (New York) $90–$98.72/hr
Join Our WhatsApp Channel for Latest UpdatesMeta Software Engineer III – AI & LLM Research (New York) | $90–$98.72/hr
Software Engineer III – 1-year contract at Meta's FAIR lab in New York, focused on AI, machine learning, and large language model (LLM) evaluations
Complete guide to job responsibilities, qualifications, compensation, and application process
Quick Highlights
| Parameter | Details |
|---|---|
| Company | Meta (through Tundra Technical Solutions) |
| Job Title | Software Engineer III |
| Location | New York, USA (Onsite) |
| Contract | 1 Year |
| Pay Rate | $90 – $98.72/hour |
| Experience | 3-5 years LLM experience |
| Tech Stack | Python, PyTorch |
| Team | FAIR – Pretraining Research Team |
| Focus | AI, ML, LLM evaluations |
| Official Website |
Opportunity Overview
| Field | Details |
|---|---|
| Host Organisation | Meta (Tundra Technical Solutions) |
| Opportunity Category | Contract Job |
| Location | New York, USA |
| Work Model | Onsite |
| Contract Duration | 1 Year |
| Application Mode | Online |
| Official Language | English |
About the Role
Meta is seeking a Software Engineer III on a one-year contract assignment in New York, United States, for work focused on artificial intelligence, machine learning, and large language model (LLM) evaluations.
The successful candidate will join Meta's Pretraining Research Team within the Fundamental AI Research (FAIR) organisation. The team works on evaluating large language models across different stages of development, including pretraining, midtraining, and post-training.
Why You Should Apply
Work at Meta: Join one of the world's leading AI research labs.
FAIR Team: Contribute to cutting-edge LLM research.
Competitive Pay: $90–$98.72/hour.
AI Focus: Work on pretraining evaluations, benchmark analysis, and prompt engineering.
Contract Flexibility: 1-year engagement with optional benefits.
Key Responsibilities
| Responsibility | Details |
|---|---|
| LLM Evaluations | Run LLM evaluations during pretraining, midtraining, and post-training |
| Results Organisation | Organise evaluation results across multiple models, benchmarks, and metrics |
| Framework Porting | Port evaluations between different evaluation frameworks and codebases |
| Correctness & Reproducibility | Ensure correctness and reproducibility of evaluation results |
| Prompt Development | Develop, test, and improve prompts used in evaluation benchmarks |
| Analysis | Analyse evaluation findings across different models and benchmarks |
| Visualisation | Create clear summaries and visualisations to communicate research findings |
| Research Support | Support research teams in making decisions based on evaluation results |
Minimum Qualifications
| Criterion | Details |
|---|---|
| Education | Bachelor's degree in Computer Science or related technical field |
| Experience | 3-5 years of relevant experience involving LLMs and related technologies |
| Programming | Experience with Python |
| ML Framework | Experience with PyTorch |
| ML/DL | Experience building systems using machine learning and/or deep learning methods |
| LLM Evaluation | Knowledge of LLM evaluation, particularly pretraining evaluation |
Preferred Qualifications
| Criterion | Details |
|---|---|
| Perplexity | Understanding of perplexity metric, behaviour across model sizes, relationship with downstream task performance, limitations |
| Scaling Ladders | Experience with training models of different sizes, understanding how evaluation metrics change with model scale |
Compensation & Benefits
| Component | Details |
|---|---|
| Pay Rate | $90 – $98.72/hour |
| Medical Benefits | Optional medical, dental, vision |
| Retirement | Retirement benefits |
| Paid Time Off | Up to 15 days per year |
| New Child Benefit | Available |
| Contract Type | 1-year engagement (contractor) |
Work Environment
| Aspect | Details |
|---|---|
| Location | New York, USA |
| Setting | Laboratory environment dedicated to AI research |
| Collaboration | Work with researchers on large-scale model evaluations |
| Exposure | Pretraining evaluation, prompt engineering, benchmark analysis, model scaling, machine learning systems, research data visualisation |
Application Process
| Step | Action |
|---|---|
| 1 | Visit the official application link |
| 2 | Review technical requirements |
| 3 | Ensure CV demonstrates relevant LLM evaluation, ML, and software development experience |
| 4 | Submit application through Tundra Technical Solutions |
Important Links
| Description | Official URL |
|---|---|
| Apply Online | |
| Official Website |
Frequently Asked Questions
| Question | Answer |
|---|---|
| Q1. What is the role? | Software Engineer III focusing on AI, ML, and LLM evaluations. |
| Q2. Where is the job located? | New York, USA (Onsite). |
| Q3. What is the pay rate? | $90–$98.72/hour. |
| Q4. What experience is required? | 3-5 years of LLM-related experience. |
| Q5. What tech skills are needed? | Python, PyTorch, ML/DL systems. |
| Q6. Is this a full-time Meta role? | No, it's a 1-year contract through Tundra Technical Solutions. |
| Q7. What is the team? | FAIR (Fundamental AI Research) – Pretraining Research Team. |
| Q8. What is the work environment? | Onsite research laboratory in New York. |
CareerFlora Expert Insight
The Meta Software Engineer III contract role offers an exceptional opportunity for AI/ML professionals to work within Meta's prestigious FAIR research team. With a focus on LLM evaluations across pretraining, midtraining, and post-training stages, this role is ideal for candidates with strong Python and PyTorch skills.
The $90–$98.72/hour compensation is highly competitive, and the optional benefits package adds further value. The 1-year contract provides exposure to cutting-edge AI research while maintaining flexibility.
Best Opportunity For
| Category | Suitable |
|---|---|
| Software Engineers | Yes |
| ML Engineers | Yes |
| AI Researchers | Yes |
| LLM Specialists | Yes |
| Python Developers | Yes |
| PyTorch Users | Yes |
| US Work Authorization Holders | Yes |
| International Applicants | No (US-based) |
Competition Level
| Category | Level |
|---|---|
| Overall Competition | Very High |
| Selection Difficulty | Difficult |
| Application Complexity | Medium |
CareerFlora Recommendation
| Recommendation Area | Details |
|---|---|
| Salary & Benefits | Excellent |
| Career Growth | Very High |
| Application Difficulty | Medium |
| Apply Early | Strongly Recommended |
Final Call-to-Action
Apply for Meta Software Engineer III role before the deadline.
Visit the official application link.
Review technical requirements.
Submit your application.
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