Machine Learning Engineer 3

Adobe Systems
Noida, Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Mentoring","Collaboration","Experimentation rigor","Responsible AI"]

Build and train machine learning models from scratch to protect Adobe’s ecosystem from fraud, abuse, and misuse. Own the end-to-end lifecycle—from behavioral data and feature engineering to custom transformer architectures, large-scale GPU training, and production deployment with monitoring. Develop and optimize feature pipelines on Databricks and Spark, translate prototypes into reliable inference systems, and contribute to MLOps practices while partnering with data science, product, and platform teams.

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FursaFursa
Adobe Systems
Adobe Systems
3 days ago

Machine Learning Engineer 3

✓ 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 6 months ago

Job Summary

Build and train machine learning models from scratch to protect Adobe’s ecosystem from fraud, abuse, and misuse. Own the end-to-end lifecycle—from behavioral data and feature engineering to custom transformer architectures, large-scale GPU training, and production deployment with monitoring. Develop and optimize feature pipelines on Databricks and Spark, translate prototypes into reliable inference systems, and contribute to MLOps practices while partnering with data science, product, and platform teams.
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, including event tokenization, temporal/positional embeddings, self-supervised pretraining, and downstream fine-tuning.
  • •Train large models efficiently on GPU infrastructure using mixed-precision, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP/FSDP).
  • •Build and optimize feature pipelines on Databricks and Spark to transform raw behavioral events into high-quality model inputs.
  • •Translate prototypes into scalable, reliable, observable production ML systems and drive inference performance through architectural and serving-side optimization.

Key Requirements

  • •Bachelor’s degree or Master’s degree (or equivalent experience) in Computer Science, Machine Learning, Data Science, or a related field.
  • •5+ 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 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:5+ years
Education:Bachelor's in Computer Science, Machine Learning, Data Science (or related field)
Skills:MentoringCollaborationExperimentation rigorResponsible AI
Tech Stack:PythonPyTorchTensorFlowDatabricksSparkTransformersAttention mechanismsGPU trainingMixed-precision trainingGradient accumulationCheckpointingEfficient attentionDDPFSDPEvent tokenizationSelf-supervised learningMasked modelingContrastive learningCI/CDExperiment tracking

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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