As of November 10, 2026, the median starting salary is $183,800 a year, measured on the 34 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
scikit-learn jobs in New York: 49 open roles
Updated Nov 10, 2026
Live postings that name scikit-learn in the job title or description, located in New York, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 49
- Build or work on AI (AI Level 3–4)
- 42
- remote
- 9
Median starting salary: $183,800.
AI level of scikit-learn jobs in New York
- ●●●● Builds AI38 (78%)
- ●●●○ Works on AI4 (8%)
- ●●○○ Uses AI1 (2%)
- ●○○○ Little AI6 (12%)
Companies hiring for scikit-learn in New York
scikit-learn jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do scikit-learn jobs in New York pay?
How much AI work do scikit-learn jobs in New York involve?
As of November 10, 2026, of the 49 live postings: Builds AI ●●●●: 38 (78%); Works on AI ●●●○: 4 (8%); Uses AI ●●○○: 1 (2%); Little AI ●○○○: 6 (12%). See what each level means.
Which companies are hiring for scikit-learn jobs in New York?
As of November 10, 2026, by number of live postings: Amazon (18), Capital One (9), Point72 (5), Celonis (4), Lyft (2).
Which other cities have scikit-learn jobs?
As of November 10, 2026, cities with their own list, by number of live postings: Seattle (29), San Francisco (26), San Jose (12), Bengaluru (64), London (35).
Which skills come up most in scikit-learn jobs in New York?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (49), Machine learning (41), TensorFlow (36), C++ (33), Spark (31).
Which roles are open in scikit-learn jobs in New York?
As of November 10, 2026, by number of live postings: Applied scientist (19), Machine learning engineer (12), Software engineer (3), AI engineer (2), Data scientist (2).
A posting counts when it names scikit-learn in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.