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The Senior Staff Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
The Senior Staff Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling.
Implement and maintain end-to-end training pipelines for Large Language Models.
Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
Agent execution infrastructure
Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.
Work closely with product, business, and platform teams to shape the core abstractions and APIs of the system.
Influence long-term architectural decisions around training runtimes, scheduling, storage, and model lifecycle management.
Contribute to and engage with the open-source LLM ecosystem.
This role offers significant 0 → 1 ownership — you'll be designing and building core systems from first principles.
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Strong Engineering Fundamentals: Advanced degree in Computer Science, Engineering, or a related field. 8-12+ years of industry experience driving impactful projects in the AI Space Proven track record of delivering early-stage projects under tight deadlines. Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.
Advanced degree in Computer Science, Engineering, or a related field.
8-12+ years of industry experience driving impactful projects in the AI Space
Proven track record of delivering early-stage projects under tight deadlines.
Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.
AI/ML Expertise: Experience in Generative AI (Large Language Models, Multimodal). Deep experience with AI infrastructure, including training, inference.
Experience in Generative AI (Large Language Models, Multimodal).
Deep experience with AI infrastructure, including training, inference.
Proficiency in Golang or Python for large-scale, production-level services.
Contributions to open-source AI projects such as vLLM or similar frameworks.
Performance optimizations on GPU systems and inference frameworks.
Experience working with PyTorch
Experience with training and fine-tuning LLMs Personal Attributes: Proactive and collaborative approach with the ability to work autonomously. Strong communication and interpersonal skills. Passion for building cutting-edge AI products and solving challenging technical problems.
Proactive and collaborative approach with the ability to work autonomously.
Strong communication and interpersonal skills.
Passion for building cutting-edge AI products and solving challenging technical problems.
Vertically integrated AI infrastructure and energy company.
Visit company websiteJobs and hiring trendsUSD 237600-288000 yearly / year
Full-time
Senior · 8+ years experience
Onsite
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