Does the peer pack still lock at 236?
Data & notes
| Name | Value | Share |
|---|---|---|
| Scale AI | 89 | 37.7% |
| Hugging Face | 62 | 26.3% |
| Databricks | 37 | 15.7% |
| OpenAI | 28 | 11.9% |
| Cohere | 20 | 8.5% |
Compare the five benches
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Key takeaway · How to cite
Seniority split
Cohere has the highest senior share at 30.0% (6 of 20). Hugging Face is lowest at 0.0% (0 of 62).
Senior = current profiles on the same company record whose title adds a Senior / Staff / Principal prefix to Machine Learning Engineer (for example Senior Machine Learning Engineer), as of 2026-10-16 PT. Denominator = that company's current Machine Learning Engineer profiles.
Data & notes
| Company | Senior share | Senior-titled | Current |
|---|---|---|---|
| Cohere | 30.0% | 6 | 20 |
| Databricks | 21.6% | 8 | 37 |
| OpenAI | 21.4% | 6 | 28 |
| Scale AI | 10.1% | 9 | 89 |
| Hugging Face | 0.0% | 0 | 62 |
Does Scale AI at 89 still lock the Machine Learning Engineer lead seat?
The benches run from Scale AI at 89 down to Cohere at 20.
Data & notes
| Name | Value |
|---|---|
| Scale AI | 89 |
| Hugging Face | 62 |
| Databricks | 37 |
| OpenAI | 28 |
| Cohere | 20 |
Absolute headcount vs share — does Scale AI still lead Hugging Face / Databricks?
Absolute headcount and share % can diverge: who is largest versus who holds the pack.
Data & notes
| Category | Headcount | Pack share % |
|---|---|---|
| Scale AI | 89 | 37.7 |
| Hugging Face | 62 | 26.3 |
| Databricks | 37 | 15.7 |
| OpenAI | 28 | 11.9 |
| Cohere | 20 | 8.5 |
How concentrated: top two / mid / tail?
Top two hold 151/236 (64.0%); mid 65; tail 20.
Data & notes
| Name | Value | Share |
|---|---|---|
| Scale AI+Hugging Face | 151 | 64.0% |
| Databricks+OpenAI | 65 | 27.5% |
| Cohere | 20 | 8.5% |
What it means for Machine Learning Engineer (236) / how to use it
This week open the named-list ask on Scale AI: 89/236 (37.7%) — the largest bench first.
- Use Hugging Face at 62/236 (26.3%) as the contrast narrow list; 1.44× behind Scale AI.
- Tail Cohere is only 20/236 (8.5%) — thin beside the anchor; do not expand past measured hosts at the same pace.
- Keep the ask inside this page's five measured Machine Learning Engineer benches totaling 236 (89 + 62 + 37 + 28 + 20).
How do we keep Machine Learning Engineer apart from ML Engineer and Data Scientist?
Data & notes
| Category | KEEP Machine Learning Engineer | OUT ML Engineer | OUT Machine Learning Engineering | OUT Data Scientist | OUT Research Scientist |
|---|---|---|---|---|---|
| Scale AI | 139 | 139 | 4 | 23 | 18 |
Data & notes
| Category | Freeze hook | Wave20 re-check |
|---|---|---|
| Scale AI Machine Learning Engineer | 89 | 139 |
Scale AI Title Collision: Machine Learning Engineer vs. Others
At Scale AI, both Machine Learning Engineer and ML Engineer titles have 139 roles each, but Machine Learning Engineering has only 4, Data Scientist 23, and Research Scientist 18. If you search for 'Machine Learning Engineer,' you may miss the duplicate ML Engineer roles; use both keywords to capture all 139 positions.
- As of 2026-11-04 PT, Scale AI current title Machine Learning Engineer is 139 (Wave20 re-check; page hook stays freeze 89).
- Same day Scale AI ML Engineer 139; Machine Learning Engineering 4; Data Scientist 23; Research Scientist 18 — all stay outside this pack.
- Lists order against the freeze pack of 236; Data Scientist / Research Scientist are not a Machine Learning Engineer stand-in.
Machine Learning Engineer Hiring: Geo Mix Across Top Three Hosts
For Machine Learning Engineer roles at Scale AI, Hugging Face, and Databricks, the United States dominates with 196 positions, followed by the United Kingdom at 13, with India, Canada, Germany, and Australia each at 2, and Israel at 1. If you prioritize North American talent, focus on the U.S. market; for diversity, consider the UK and India as secondary pools.
- As of 2026-11-04 PT, Machine Learning Engineer at top-three hosts by country (≥1 person): United States 196, United Kingdom 13, India 2, Canada 2, Germany 2.
- Lead country is United States 196; United States 196 and India 2 are both sourcing primaries.
- Lists order against the freeze pack of 236; country cells are a sourcing map, not a hook rewrite.
Scale AI Anchor Verify: Wave20 Re-check
The Wave20 re-check shows Scale AI currently has 139 Machine Learning Engineer-related roles, up from the freeze baseline of 89, a significant increase. Reassess your talent pool size and adjust sourcing priorities to accommodate this growth.
- Wave20 re-check Scale AI Machine Learning Engineer = 139 (2026-11-04 PT).
- List buyers still order against the freeze pack of 236; the re-check is stability evidence only.
- If you need a today snapshot list, note the Wave20 as-of in the list ask.
As of 2026-09-17 PT · Source: Metix AI
Notes & method
Methodology
Figures are Machine Learning Engineer profiles current on the named company record as of 2026-09-17 PT. The pack total adds five non-overlapping company records. Source: Metix AI.
FAQ
- Why these five companies for the Scale AI-led Machine Learning Engineer pack (236)?
- Each of the five has a record that can hold a Machine Learning Engineer count. The published total is 236, dated 2026-09-17 PT.
- Are the other titles in the Machine Learning Engineer total of 236?
- Data Scientist and Research Scientist are not part of the 236. Only spelled-out Machine Learning Engineer is in the 236, dated 2026-09-17 PT.
- Why do the two ends of the Machine Learning Engineer pack (236) differ?
- Scale AI at 89 and Cohere at 20 use the same Machine Learning Engineer rule. The date is 2026-09-17 PT, so the gap is bench depth.
- Can this Machine Learning Engineer seat (236) be reused?
- The published pack stays 236 across the five records, as of 2026-09-17 PT. The Machine Learning Engineer wording is reusable beyond these five.
Request the machine learning engineering peer pack (five names · 236 current people)
Take the named list for the employers shown here. Leave the companies and the spelled-out titles as they are.
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