Amazon Web Services (AWS)
Applied Scientist, Alexa Connected Devices
Seattle, Washington, USA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$20,272 more — $163,072 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $163,072 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · Seattle-Tacoma-Bellevue, WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Do you want to shape the future of how Alexa+ enabled devices connect with Alexa Cloud?
- If you said yes to any or all of those, come join the Alexa Connected Devices!
- A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience programming in
Nice to have
- Experience using Unix/Linux.
- USA, WA, Seattle
Compensation
- $143k-$193k
Company info
- Your work will directly impact our customers in the form of novel products and services.
This listing is sourced directly from Amazon Web Services (AWS)'s careers page and normalized into a canonical job model.