Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Mid level Full Time
Responsibilities
- Working with our distributed training stack to start training runs and tracking them closely.
- Contributing to our ML codebases and adding new models, algorithms and features.
- Experimenting with new model architectures and designs, and getting them production ready.
- Training and finetuning models, and adapting them to our products by taking tester feedback and iterating over the trained models.
Requirements
- Experience with pytorch, python
- Past experience with training NLP or Image models.
- Able to read cutting edge ML papers, implement them in pytorch and accurately reproduce.
- Strong knowledge of computer science fundamentals, including algorithms and data structures.
- Machine learning fundamentals
- Good problem-solving and troubleshooting skills.
Bonus Points
- Knowledge in Kubernetes and SLURM
- Distributed computing knowledge to contribute to our distributed ML training stack.
- Experience with JAX
- Experience with Triton
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 13 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.