Machine Learning Engineer
$150,000–$200,000 year
RemoteUnited States
United StatesRemoteFull Time$150,000–$200,000 yearStartup
Full TimeStartup
Job Summary
Build deep-learning models on market data, from raw data ingestion to end-to-end evaluation and daily trading deployment. Set up and maintain your own GPU infrastructure, including local workstations or AWS instances, managing drivers, containers, and cost controls. Reproduce recent research in foundation models and time-series, writing clear technical summaries for the team to act on. Validate results with leakage-proof testing and honest baselines to distinguish signal from noise.
Required Qualifications
- Deep learning fundamentals
- Optimization
- Regularization
- Sequence models and attention
- Evaluation
- Linear algebra
- Probability
- Statistics
- Python
- PyTorch
- NumPy
- pandas
- Small-scale GPU infrastructure
- CUDA
- Containers
- Storage
- Monitoring
- Cost control
- Time-ordered data
- Backtest hygiene
- Distribution shift
- Reproducing research
- Reading a paper
- Getting it running
- US-based
- Full-time
- Remote
Desired Qualifications
- Fine-tuning or serving LLMs on your own hardware
- CUDA or Triton
- Time-series forecasting
- Interest in markets
- Personal projects
- Hackathon builds
- A model trained on your own machine
- A repo people actually use
- Shipped things nobody assigned you
- Grounded in fundamentals
- A builder
- Scrappy and hands-on
- Honest about results
- Low ego and coachable
- Curious about markets
- End to end ownership
- Clean experiments
- Fast and exact
- AI-native
- Self-directed
- Clear in writing
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