S
$197,300 – $313,700
Listed on Slack’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves designing and shipping production machine learning models that power Slack's NLP features, working end-to-end from data curation through serving millions of users. It suits experienced ML engineers who thrive on the full lifecycle of model training and optimization rather than research-focused work.
Our summary, not Slack’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- 5+ years training and fine-tuning deep learning models in NLP or related domains
- 5+ years with PyTorch, TensorFlow, JAX or similar frameworks
- Shipped fine-tuned models to production serving real users at scale
- Experience with PHP, Python, Ruby, Go, C, Scala or Java
- Analytical mindset and ability to measure ML/AI product success
- Led technical architecture discussions and drove decisions
- Write maintainable, testable code
- Strong communication skills explaining technical concepts across disciplines
Nice to have
- Expertise with recommendation systems or search
- Model optimization for inference (quantization, pruning, speculative decoding, TorchScript/TensorRT/ONNX)
- Experience with retrieval-augmented generation and hybrid retrieval/generation systems
- Broad NLP, ML, and Generative AI experience
- Knowledge of multiple data types in RAG including structured, unstructured, and knowledge graphs