Advanced degree in Computer Science, Engineering, or related field.
4-5+ years of industry experience in AI projects.
Experience with Generative AI, particularly Large Language Models.
Hands-on experience with Reinforcement Learning and Fine-Tuning techniques.
Proactive and collaborative, able to work autonomously.
Passion for developing innovative AI solutions.
Responsibilities
Manage fine-tuning systems for large foundation models, ensuring efficient scaling and recovery.
Implement and maintain end-to-end training pipelines for Large Language Models.
Apply Reinforcement Learning techniques to fine-tuning and training processes.
Develop distillation and reinforcement learning pipelines for optimization.
Oversee dataset, model, and experiment management for reproducibility and evaluation.
Benefits
Competitive compensation package.
Restricted Stock Units as part of the compensation.
Paid time off and holidays.
Comprehensive health, dental, and vision insurance.
Employer contributions to HSA accounts.
Paid parental leave.
Life insurance and disability coverage.
Professional development and tuition reimbursement.
Mental health and wellness support.
Commuter benefits for parking and transit.
Cell phone stipend.
401(k) retirement plan with company match up to 4%.
Volunteer time off.
Full Job Description
About This Role:
The Senior Staff Software Engineer for the AI 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).
What You'll Be Working On:
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.
RFT and Reinforcement learning to the fine tuning and training sections
Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.
What You'll Bring to the Team:
Advanced degree in Computer Science, Engineering, or a related field.
4-5+ years of industry experience leading and driving impactful projects in the AI Space
Experience in Generative AI (Large Language Models, Multimodal).
Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques.
Proactive and collaborative approach with the ability to work autonomously
Passion for building cutting-edge AI products and solving challenging technical problems.
Bonus Points:
Proficiency in Golang or Python for large-scale, production-level services and PyTorch
Contributions to open-source AI projects such as vLLM or similar frameworks.
Performance optimizations on GPU systems and inference frameworks.
Benefits:
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Compensation Range
Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
