scikit-learn Jobs in the San Francisco Bay Area
31 vacancies found
- Newest
- Highest salary
Open vacancies
- Early Window: Closes inCompany hidden
- PayPal
- PayPal
- PayPal
- Intuitive
- Visa
Senior Manager, Data Science & Analytics - Global Marketing Services
$154,000 / year
- Hybrid · San Francisco, US
- Lead & Manager
- Walmart
- Snap
Software Engineer, ML Infrastructure, ML Data, Level 5
$209,000 - 313,000 / year
- Office · Palo Alto, Seattle +2
- Senior
- Capital One
Machine Learning Engineer 5 (Senior Manager, IC)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Senior
- Hewlett Packard Enterprise
- Capital One
Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
$179,400 - 204,700 / year
- Office · San Jose, US +2
- Senior
- Capital One
Machine Learning Engineer 4 - Machine Learning Experiences (MLX)
$179,400 - 204,700 / year
- Office · San Jose, US +2
- Senior
- ŌURA
Senior Manufacturing Data Science & Machine Learning Engineer
$172,550 - 203,000 / year
- Hybrid · San Francisco
- Senior
- OpenAI
Machine Learning Data Scientist - Consumer Forecasting
$347,000 - 445,000 / year
- Hybrid · San Francisco
- Senior
- PayPal
- Capital One
Senior Manager, Machine Learning Engineer (People Leader)
$229,900 - 262,400 / year
- Office · New York, San Francisco +1
- Lead & Manager
- Snap
Software Engineer, ML Infrastructure, ML Platform Level 5
$209,000 - 313,000 / year
- Office · Los Angeles, Palo Alto +2
- Senior
- DoorDash USA
Staff Software Engineer, Machine Learning
$203,500 - 299,300 / year
- Hybrid · San Francisco, New York City +2
- Senior
- DoorDash USA
Senior Software Engineer, Machine Learning
$167,800 - 246,800 / year
- Hybrid · San Francisco, New York +1
- Senior
- Socure
- Wayve
- Adobe
- Snap
Machine Learning Engineer, Level 4
$173,000 - 259,000 / year
- Office · Palo Alto, San Francisco +4
- Mid-Level
- Snap
Machine Learning Engineer, Level 5
$209,000 - 313,000 / year
- Office · Palo Alto, San Francisco +4
- Mid-Level
- Stripe
- Capital One
Senior Manager, Machine Learning Engineer
$229,900 - 262,400 / year
- Office · US, San Francisco +2
- Lead & Manager
- Adobe
2027 University Graduate - Machine Learning Engineer
$102,400 - 202,250 / year
- Office · San Jose, San Francisco +4
- Junior
- Capital One
- Capital One
- Capital One
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
$197,300 - 225,100 / year
- Office · New York, San Francisco +1
- Senior
- Capital One
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
$197,300 - 225,100 / year
- Office · New York, San Francisco +1
- Senior
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For: All vacancies · Bay Area · scikit-learn
About scikit-learn Jobs in the San Francisco Bay Area
Tech roles that ask for scikit-learn, in every field and at every level, at tech companies in the US, UK, Canada, Australia and Europe. Every role on this page has an office in the San Francisco Bay Area. We find them on company career pages and in the closed places where hiring teams post first, often before they reach the big job boards.
Right now there are 31 open roles here, 6 of them added in the last 7 days. The skills asked for most: scikit-learn, PyTorch, TensorFlow and Python.
- open jobs
- 31
- new in the last 7 days
- 6
- typical yearly salary
- $192K to $246K
- fully remote
- 0
How many scikit-learn Jobs in the San Francisco Bay Area are open right now?
There are 31 open roles here, 6 added in the last 7 days. The list updates as we find new vacancies and closes the ones that are filled.
How much do scikit-learn Jobs in the San Francisco Bay Area pay?
On the open roles here that state a salary, the middle half pays between $192K and $246K a year, converted to US dollars. Each vacancy shows its own range in its currency.
Are there remote scikit-learn Jobs in the San Francisco Bay Area?
Not right now: every open role here asks for some time in an office. Each vacancy says where the office is.
What does Early Window mean?
1 of these roles were found in the last 48 hours, before they spread to the big job boards. Applying early means fewer people in line ahead of you.