DL Researcher
Posted 1,411 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 5 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1411d ago
The date the source published, not the day we noticed it (2022-11-29). Last seen at its source 5h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 1d ago · last seen 5h ago
The listing
We are currently seeking a Deep Learning Researcher. You have stumbled upon a gem in Deep Learning vacancies. A place to put to use your hard-earned experience and show some state-of-the-art work in a highly competitive environment where all your skills will be put to test.
Feel free to go through the details and learn more from our recruitment team.
What You’ll Be Doing:
- The team you’ll join is working on developing solutions based on DL with state-of-the-art performance in terms of accuracy/speed/scalability.
- We expect you to have proficient skills in ML, in particular in one of Deep Learning domains.
What We Look For In You:
- Proficient knowledge in one of Deep Learning domains (CV, NLP, TimeSeries, Audio, etc.)
- Experience in development scalable and reproducible ML pipelines
- Competency in conducting experiments to facilitate rapid iterations and validate hypotheses
Nice-to-have:
- Top ranks in competitions with prizes and objective metrics (Kaggle, TopCoder, DrivenData, etc.)
- Experience in Time Series tasks
Why Should You Join Our Team?
- Great challenges with fast feedback loops
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- Flexible schedule
- 40 paid days off
- Competitive salary