AppLovin
Software Engineer, Machine Learning
Palo Alto, CA · Mid
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
$374 more — $221,374 — moves this role to Level III and 3 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 $221,374 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- For more information about AppLovin, visit: www.applovin.com.
- In this role, you will work on large-scale machine learning problems spanning user signals, representation learning, ranking, retrieval, model architecture, and optimization.
Responsibilities
- Develop user representations and modeling approaches that effectively incorporate user signals into ranking, retrieval, prediction, and optimization systems.
- Build scalable tools and frameworks for user signal and feature evaluation, model training, experimentation, deployment, monitoring, and debugging.
- Design and analyze offline and online experiments to understand the incremental value of user signals and model improvements and their impact on product and business outcomes.
- To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates.
Requirements
- Experience diagnosing and solving problems involving data and feature quality, model quality, training, or serving performance.
Nice to have
- Experience with large-scale recommendation or advertising systems, including candidate generation, retrieval, ranking, or prediction.
- Experience measuring the incremental value of user signals and understanding their downstream impact on ranking or recommendation performance.
- Experience with distributed model training and large-scale ML infrastructure.
- Experience optimizing training or inference workloads on GPUs or other accelerators.
- Experience optimizing ML systems for latency, throughput, memory utilization, or computational efficiency.
- Experience designing and analyzing online experiments and offline model evaluations.
- AppLovin provides a competitive total compensation package with a pay for performance rewards approach.
- Method of Application: Apply online
Skills
- About AppLovin
- The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences.
- www.applovin.com.
Compensation
- 10 paid holidays per year
- Paid Holidays: 10 paid holidays per year
- CA Base Pay Range
- $221,000 - $331,000 USD
Benefits
- Unlimited Discretionary Time Off
- 401(k) Retirement Plan
- Paid Sick Leave: 80 hours per year
Company info
- About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers.
Equal opportunity
- equal opportunity employer that is committed to inclusion and diversity.
- Learn more about EEO rights as an applicant here.
- If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com
This listing is sourced directly from AppLovin's careers page and normalized into a canonical job model.