Forward Deployed Engineer (Model Customization and Optimization), AWS Forward Deployed Engineering
Amazon1 day ago
London, United KingdomMid Level
Responsibilities
- Embed with customer ML and engineering teams, understand their constraints, and translate goals into evaluation criteria and technical plans.
- Customize and post-train open-weight and foundation models using continued pre-training, supervised fine-tuning, preference optimization, and reinforcement learning.
- Build data pipelines, synthetic data generation systems, evaluation harnesses, distributed training pipelines, RL interaction harnesses, and production inference stacks.
- Optimize training and inference workloads for AWS Trainium using AWS Neuron, including profiling, benchmarking, accuracy-parity work, and custom kernel development.
- Deploy and operate models in customer production environments and optimize throughput, latency, memory footprint, and cost.
- Create reusable fine-tuning recipes, evaluation frameworks, benchmarking tools, and optimization patterns, and share learnings with AWS service teams.
- Travel up to 25%.
Requirements
- At least three years of non-internship professional software development experience.
- At least two years of experience working in an Agile, startup, or rapidly scaling environment.
- Professional software development experience and programming experience in at least one modern language such as Java, C++, or C#, including object-oriented design.
- Hands-on experience with generative AI technologies such as LLMs, vision-language models, or speech models.
- Experience with AI tools including evaluation frameworks, agent tooling, RAG pipelines, and prompt engineering.
- Experience communicating technical concepts to technical and non-technical audiences.
- Preferred: bachelor's degree in computer science or equivalent.
- Preferred: experience with full software development life cycle practices, large-scale distributed LLM training, LLM post-training, model training or inference optimization, custom kernels, AWS Trainium or Inferentia, AWS ML services, and deploying ML models in customer production environments.
Benefits
- Work-life flexibility and work-life harmony.
- Employee-led and company-sponsored affinity groups and inclusion events.
- Mentorship, knowledge-sharing, and career growth resources.
- Up to 25% travel is required.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.