Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- Staff Machine Learning Engineer at Adobe, leading technical efforts for scalable GenAI services across products like Photoshop and Lightroom. Collaborating closely with research and product teams for high-performance solutions.
Responsibilities
- Design, build, and maintain scalable, production-grade GenAI services in the cloud
- Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration
- Drive the bridge between research and product teams throughout the lifecycle—from prototyping to deployment
- Optimize model performance, GPU utilization, and service orchestration at scale
- Work collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmap
- Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability
- Own and improve CI/CD systems and monitoring pipelines for ML services
- Mentor engineers across ML and backend fields, encouraging a culture of technical excellence
- Provide tier-1 production support, ensuring service SLAs and customer satisfaction
Requirements
- MS or PhD in Computer Science or a related field, or equivalent experience in the industry.
- 8+ years' experience architecting cloud services and infrastructure for large scale use, reliability and performance
- 3+ years of experience with GenAI workloads—including fine-tuning and inference at scale
- Strong foundation in Transformer architecture, Diffusion models, CLIP, VAE, Encoder/Decoders
- Deep understanding of model serving, orchestration, and GPU resource management in distributed environments
- Knowledge of model optimization techniques (quantization, pruning, distillation, etc.)
- Expert-level coding and debugging skills in Python; familiarity with JavaScript/TypeScript is a plus
- Hands-on experience with Kubernetes, Docker, and ML-Ops platforms (e.g., MLflow, KServe, Triton)
- Familiarity with CUDA, Torch AOTinductor, and frameworks such as PyTorch, TensorFlow, or ONNX Runtime
- Proven track record of leading complex, high-stakes technical initiatives across teams
- Strong problem-solving skills and a mentality for developing well-tested, production-quality software
- Excellent communication and multi-functional collaboration skills.
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
- Paid time off
- Bonuses
- Stock options
- Equipment allowances
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