I interviewed for the ML role at FB (the track with a ML system design round). Currently in the team matching phase and the "ML"-focused role don't sound very interesting to me. A lot of it is just ads and seems to be a lot of feature generation & data cleaning, which doesn't sound too interesting to me. The ML infra roles sound more interesting, but I'd just be reduced to a typical SWE.
Is it inadvisable to go from MLE to SWE? I presume MLE roles are typically harder to get than SWE?
I probably want to be a quant 4-5 years from now, and none of these roles are directly transferrable.
Want to see the real deal?
More inside scoop? View in App
More inside scoop? View in App
blind
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
FOLLOWING
Industries
Job Groups
- Software Engineering
- Product Management
- Information Technology
- Data Science & Analytics
- Management Consulting
- Hardware Engineering
- Design
- Sales
- Security
- Investment Banking & Sell Side
- Marketing
- Private Equity & Buy Side
- Corporate Finance
- Supply Chain
- Business Development
- Human Resources
- Operations
- Legal
- Admin
- Customer Service
- Communications
Return to Office
Work From Home
COVID-19
Layoffs
Investments & Money
Work Visa
Housing
Referrals
Job Openings
Startups
Office Life
Mental Health
HR Issues
Blockchain & Crypto
Fitness & Nutrition
Travel
Health Care & Insurance
Tax
Hobbies & Entertainment
Working Parents
Food & Dining
IPO
Side Jobs
Show more
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
comments
How long is Bootcamp?
I'm also considering MLE vs DS role at FB. I do NOT want to do infra (YAML engineer) but the DS role sounds like I won't be able to write as much Python as I'd like... altho, I am hopeful there are DS roles with a lot of ML + Data/Product.... (still looking for which groups that might be)