Senior ML Engineer, NLP

About us

Everyone has access to the analytics dashboard, and weekly numbers are posted in Slack. Core hours are 10 to 3, and the rest of the day is flexible.

The role

Our team is growing and we are hiring a Senior ML Engineer, NLP. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. Remote, open to candidates across the US. Hours are flexible, with one short team call each morning.

What you'll work on

• Monitor models for drift, data quality issues and latency regressions.
• Productionize data science prototypes without rewriting everything.
• Maintain feature pipelines and a feature store such as Feast or Tecton.
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure.
• Track experiments, artifacts and versions in MLflow or Weights & Biases.
• Fine-tune open-weight models with LoRA when it beats prompting.

What we're looking for

• 5+ years of software engineering experience, with at least two spent on ML systems in production.
• BS or MS in computer science, engineering or a related field.
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Hands-on experience with PyTorch, TensorFlow or JAX.

Preferred qualifications

• Distributed training with DeepSpeed or FSDP.
• Computer vision background (OpenCV, detection, segmentation)
• Published papers or open source ML contributions.

Benefits

Compensation: $205,000 to $230,000/year

• Vision insurance.
• Three weeks of PTO to start.
• Paid sick leave.
• Short- and long-term disability.
• Employee discount.
• Flexible schedule.
• 11 paid holidays.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Harrisburg Interactive.