or apply directly on AppLovin's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days AppLovin's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of AppLovin's roles list one
- Ghost-job risk at AppLovin
- high 27 stale, 1 reposted of 37 open
- Hiring momentum
- 47 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from AppLovin's own greenhouse board since 2026-08-03. Full hiring picture for AppLovin.
About this role
As a Software Engineer specializing in Machine Learning at AppLovin, you will focus on enhancing user signal and recommendation technologies for their advertising platform. Your day-to-day responsibilities will include developing user signals, improving machine learning models, and collaborating with cross-functional teams to bring new approaches into production. You will tackle large-scale machine learning challenges, optimizing systems for performance and efficiency.
- benefits
- 4/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AppLovin as an employer.
What you need
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or a related technical field, or equivalent practical experience
- 4+ years of experience developing and deploying machine learning systems in production environments
- Experience with machine learning or deep learning in areas such as recommendation, ranking, retrieval, prediction, advertising, representation learning, or related applications
- Experience developing and training machine learning models using large-scale datasets
- Strong understanding of machine learning fundamentals, including model architectures, optimization, representation learning, feature engineering, and model evaluation
- Strong programming and software engineering skills, with experience building reliable production systems
Nice to have
- Experience developing user signals, features, or learned user representations for large-scale machine learning systems
- Experience with large-scale recommendation or advertising systems, including candidate generation, retrieval, ranking, or prediction
- Experience with representation learning, embeddings, feature interaction, or multi-task learning using large-scale user signals
- Experience measuring the incremental value of user signals and understanding their downstream impact on ranking or recommendation performance
- Experience developing and scaling deep learning architectures for recommendation, ranking, or advertising applications
What you get
- Competitive total compensation package
- Equity eligible
- Health Insurance: Medical, Dental, Vision, Life, Disability
- 401(k) Retirement Plan
- Unlimited Discretionary Time Off
- 10 paid holidays per year
Worth weighing
- No specific mention of the tech stack beyond machine learning frameworks like PyTorch or TensorFlow
- The role involves working with large-scale, sparse, noisy, and heterogeneous user signals, which may present unique challenges
- The application window is expected to close within 30 days, indicating a potentially competitive hiring process
Summarised from AppLovin's posting. Read the full original.
Listed by AppLovin on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
More roles at AppLovin
- Inside Sales AssociateLos Angeles/Santa Monica, CA
- Data Scientist – AnalyticsPalo Alto, CA
- Director of Business DevelopmentNew York City, NY
- Director of Business DevelopmentLos Angeles/Santa Monica, CA
- Director of Business DevelopmentToronto
- Agency Growth LeadToronto
- Account ExecutiveToronto
- Business Development AssociateToronto