ML Engineer
Posted 1,267 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 2 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 2d 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 1267d ago
The date the source published, not the day we noticed it (2023-04-23). Last seen at its source 2h ago.
We have tracked this listing since 9 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 2 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 2d ago · last seen 2h ago
The listing
We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.
WHAT YOU’LL BE DOING:
- The task involves the development and upkeep of data pipelines for training and evaluating models
- Exploratory data analysis will be conducted to enhance model accuracy and performance
- Experiments and evaluations of machine learning models will be carried out to identify and address any issues
WHAT WE LOOK FOR IN YOU:
- Strong experience in machine learning
- Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
- Strong analytical and problem-solving skills, as well as attention to details
WHY SHOULD YOU JOIN OUR TEAM?
- Great challenges with many opportunities to prove yourself
- 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
- 40 paid days off
- Competitive salary and performance-based bonuses