Machine Learning Engineer 4

Adobe Systems
Noida, Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Mentoring","Innovation","Responsibility"]

Build and develop deep learning models from scratch for Adobe’s Genuine Engineering team, protecting users from fraud, abuse, and misuse. Own the full ML lifecycle—from behavioral data and feature engineering to transformer-based architectures, large-scale GPU training, deployment, inference optimization, and monitoring. Create efficient training stacks on GPU infrastructure and production-grade MLOps workflows using tools like Databricks, Spark, and CI/CD.

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FursaFursa
Adobe Systems
Adobe Systems
3 days ago

Machine Learning Engineer 4

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Build and develop deep learning models from scratch for Adobe’s Genuine Engineering team, protecting users from fraud, abuse, and misuse. Own the full ML lifecycle—from behavioral data and feature engineering to transformer-based architectures, large-scale GPU training, deployment, inference optimization, and monitoring. Create efficient training stacks on GPU infrastructure and production-grade MLOps workflows using tools like Databricks, Spark, and CI/CD.
Location: Noida, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences.
  • •Own the full training stack: event tokenization, temporal/positional embeddings, self-supervised pretraining, and downstream fine-tuning.
  • •Train large models efficiently on GPU infrastructure using techniques like mixed-precision training, efficient attention, and distributed strategies (DDP/FSDP).
  • •Build and optimize feature pipelines on Databricks and Spark to transform raw behavioral events into high-quality inputs.
  • •Translate prototypes into production ML systems and improve inference performance through architectural and serving-side optimization.

Key Requirements

  • •Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Machine Learning, Data Science, or a related field.
  • •8+ years of professional experience building and deploying ML solutions at scale.
  • •Strong programming expertise in Python, with hands-on experience in PyTorch, TensorFlow, or similar ML frameworks.
  • •Deep understanding of the end-to-end ML lifecycle, from data collection to deployment and monitoring.
  • •Strong grasp of model optimization, inference efficiency, and production system integration.
Experience:8+ yearsFraud detectionAnomaly detectionBehavioral modeling
Education:Bachelor's
Skills:Cross-functional collaborationMentoringInnovationResponsibility
Tech Stack:PythonPyTorchTensorFlowTransformerAttentionGPUMixed-precision trainingGradient accumulationCheckpointingEfficient attentionDistributed trainingDDPFSDPDatabricksSparkEvent tokenizationTemporal embeddingsPositional embeddingsMasked modelingContrastive learning

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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