High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now!
Crusoe
High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now!
Job Description
Senior Software Engineer, Managed AI - AI Model LifeCycle at Crusoe
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
Role Overview
As a Senior Software Engineer on the Model LifeCycle team, you will be instrumental in building and maintaining a managed platform for the entire application development lifecycle, specifically focusing on leveraging Machine Learning models, including Large Language Models (LLMs). This role demands a strong understanding of AI/ML infrastructure, software engineering principles, and a passion for creating robust and scalable solutions.
A Day in the Life
Here's what a typical day might look like:
- Morning: Start with a team stand-up to discuss progress, challenges, and priorities. Dive into implementing new features for fine-tuning large foundation models, such as optimizing multi-node orchestration or enhancing checkpointing mechanisms.
- Mid-day: Collaborate with Senior and Principal Engineers to refine system abstractions and APIs. Participate in technical discussions on training runtimes, scheduling, and storage solutions. Review code and provide feedback to ensure high-quality deliverables.
- Afternoon: Focus on developing and maintaining core agent execution infrastructure. Implement components for distillation and reinforcement learning pipelines. Engage with the open-source LLM ecosystem to stay updated on the latest trends and technologies.
- Evening: Dedicate time to experiment management, ensuring versioning, lineage tracking, and reproducible fine-tuning. Address any production issues and contribute to documentation.
Why San Francisco?
San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Being located in San Francisco allows you to:
- Collaborate with leading AI/ML experts and companies.
- Access cutting-edge research and development resources.
- Attend industry conferences and workshops.
- Enjoy a vibrant and diverse culture.
- Contribute to the forefront of AI advancements.
Career Path
This Senior Software Engineer role provides a strong foundation for career advancement within Crusoe. Potential career paths include:
- Principal Engineer: Lead the technical direction of the Model LifeCycle team and mentor other engineers.
- Staff Engineer: Focus on cross-cutting technical initiatives and drive innovation across multiple teams.
- Engineering Manager: Lead and manage a team of software engineers, guiding their professional development and ensuring project success.
- Architect: Design and implement the overall architecture of Crusoe's AI platform.
Salary & Benefits
Crusoe offers a competitive salary and benefits package, including:
- Competitive Pay: Based on experience and qualifications.
- Restricted Stock Units: Opportunity to own a piece of a fast-growing technology company.
- Health Insurance: Comprehensive medical, vision, and dental coverage.
- HSA Contributions: Employer contributions to Health Savings Accounts.
- Paid Parental Leave: Generous leave for new parents.
- Life and Disability Insurance: Paid life insurance, short-term and long-term disability coverage.
- Teladoc: Access to virtual healthcare services.
- 401(k): 100% match up to 4% of salary.
- Paid Time Off: Generous vacation and holiday schedule.
- Cell Phone Reimbursement: Coverage for business-related cell phone expenses.
- Tuition Reimbursement: Support for continuing education and professional development.
Crusoe Culture
At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We value:
- Impact: Making a tangible difference in the world through our technology.
- Teamwork: Working together to achieve common goals.
- Learning: Continuously expanding our knowledge and skills.
- Sustainability: Building responsible and environmentally conscious solutions.
- Integrity: Operating with honesty and transparency.
How to Apply
If you are passionate about AI, software engineering, and sustainability, we encourage you to apply! Please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and qualifications.
FAQ
- What is Crusoe's mission?
Crusoe's mission is to accelerate the abundance of energy and intelligence. - What technologies will I be working with?
You will be working with a range of technologies, including Large Language Models (LLMs), PyTorch, Golang or Python, and cloud-based services. - What are the key responsibilities of this role?
Key responsibilities include implementing and maintaining systems for fine-tuning large foundation models, developing training pipelines, and building agent execution infrastructure. - What qualifications are required for this role?
A Bachelor's degree in Computer Science, Engineering, or a related field, along with 4-5+ years of industry experience, is required. - What benefits does Crusoe offer?
Crusoe offers a comprehensive benefits package, including competitive pay, stock options, health insurance, paid time off, and more. - What is the company culture like at Crusoe?
Crusoe fosters a culture of innovation, collaboration, and sustainability. - What opportunities for career advancement are available?
Potential career paths include Principal Engineer, Staff Engineer, Engineering Manager, and Architect. - How does Crusoe contribute to sustainability?
Crusoe is committed to building responsible and environmentally conscious solutions, leveraging energy resources in a sustainable manner. - What is the interview process like?
The interview process typically involves a phone screening, technical interview, and a final interview with the hiring manager. - Where is this position located?
This position is located in San Francisco, California.
Locations
- San Francisco, California, United States
Salary
Estimated Salary Rangemedium confidence
198,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (ML)intermediate
- Large Language Models (LLMs)intermediate
- Generative AIintermediate
- Model Fine-tuning (SFT, PEFT, LoRA, adapters)intermediate
- Multi-node Orchestrationintermediate
- Checkpointingintermediate
- Failure Recoveryintermediate
- Scalable Systemsintermediate
- Training Pipelinesintermediate
- Distillationintermediate
- Reinforcement Learning (Preference Optimization, Policy Optimization, Reward Modeling)intermediate
- Agent Execution Infrastructureintermediate
- Dataset Managementintermediate
- Model Managementintermediate
- Experiment Managementintermediate
- Versioningintermediate
- Lineage Trackingintermediate
- Model Evaluationintermediate
- Reproducible Fine-tuningintermediate
- Cloud Computingintermediate
- Golangintermediate
- Pythonintermediate
- PyTorchintermediate
- API Developmentintermediate
- System Abstractionintermediate
- Communicationintermediate
- Collaborationintermediate
- Problem-solvingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field. (experience)
- 4-5+ years of industry experience in software engineering with AI/ML focus. (experience)
- Experience delivering production-ready features. (experience)
- Familiarity with essential cloud-based services (compute, storage, networking). (experience)
- Familiarity with Generative AI (Large Language Models, Multimodal). (experience)
- Experience with AI infrastructure components (training, inference). (experience)
- Proficiency in Golang or Python for production services (preferred). (experience)
- Familiarity with PyTorch (preferred). (experience)
- Some experience with training and fine-tuning LLMs (preferred). (experience)
- Proactive and collaborative approach. (experience)
- Strong communication and interpersonal skills. (experience)
- Passion for building AI products and solving technical problems. (experience)
- Ability to work closely with Senior Engineers and Principal Engineers. (experience)
- Experience contributing to technical discussions on training runtimes, scheduling, storage, and model lifecycle management. (experience)
- Engagement with the open-source LLM ecosystem. (experience)
Responsibilities
- Implement and maintain systems for fine-tuning 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.
- Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
- Develop and maintain core agent execution infrastructure.
- Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.
- Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.
- Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.
- Engage with the open-source LLM ecosystem.
- Take significant implementation ownership for core system components.
- Ensure the reliability, scalability, and security of the managed AI platform.
- Participate in code reviews and contribute to improving code quality.
- Stay up-to-date with the latest advancements in AI/ML and cloud computing.
- Troubleshoot and resolve issues in production environments.
- Contribute to the development of internal tools and documentation.
- Mentor junior engineers and provide technical guidance.
- Collaborate with cross-functional teams to define and prioritize features.
- Participate in sprint planning and daily stand-up meetings.
- Contribute to the overall architecture and design of the AI platform.
Benefits
- general: Industry competitive pay
- general: Restricted Stock Units in a fast growing, well-funded technology company
- general: Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- general: Employer contributions to HSA accounts
- general: Paid Parental Leave
- general: Paid life insurance
- general: Short-term and long-term disability insurance
- general: Teladoc services
- general: 401(k) with a 100% match up to 4% of salary
- general: Generous paid time off and holiday schedule
- general: Cell phone reimbursement
- general: Tuition reimbursement
- general: Opportunity to work on cutting-edge AI technology
- general: Collaborative and supportive work environment
- general: Professional development opportunities
- general: Impactful work contributing to the abundance of energy and intelligence
- general: Sustainable and responsible cloud infrastructure initiatives
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.
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~2 Minutes
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High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now!
Crusoe
High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now!
Job Description
Senior Software Engineer, Managed AI - AI Model LifeCycle at Crusoe
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
Role Overview
As a Senior Software Engineer on the Model LifeCycle team, you will be instrumental in building and maintaining a managed platform for the entire application development lifecycle, specifically focusing on leveraging Machine Learning models, including Large Language Models (LLMs). This role demands a strong understanding of AI/ML infrastructure, software engineering principles, and a passion for creating robust and scalable solutions.
A Day in the Life
Here's what a typical day might look like:
- Morning: Start with a team stand-up to discuss progress, challenges, and priorities. Dive into implementing new features for fine-tuning large foundation models, such as optimizing multi-node orchestration or enhancing checkpointing mechanisms.
- Mid-day: Collaborate with Senior and Principal Engineers to refine system abstractions and APIs. Participate in technical discussions on training runtimes, scheduling, and storage solutions. Review code and provide feedback to ensure high-quality deliverables.
- Afternoon: Focus on developing and maintaining core agent execution infrastructure. Implement components for distillation and reinforcement learning pipelines. Engage with the open-source LLM ecosystem to stay updated on the latest trends and technologies.
- Evening: Dedicate time to experiment management, ensuring versioning, lineage tracking, and reproducible fine-tuning. Address any production issues and contribute to documentation.
Why San Francisco?
San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Being located in San Francisco allows you to:
- Collaborate with leading AI/ML experts and companies.
- Access cutting-edge research and development resources.
- Attend industry conferences and workshops.
- Enjoy a vibrant and diverse culture.
- Contribute to the forefront of AI advancements.
Career Path
This Senior Software Engineer role provides a strong foundation for career advancement within Crusoe. Potential career paths include:
- Principal Engineer: Lead the technical direction of the Model LifeCycle team and mentor other engineers.
- Staff Engineer: Focus on cross-cutting technical initiatives and drive innovation across multiple teams.
- Engineering Manager: Lead and manage a team of software engineers, guiding their professional development and ensuring project success.
- Architect: Design and implement the overall architecture of Crusoe's AI platform.
Salary & Benefits
Crusoe offers a competitive salary and benefits package, including:
- Competitive Pay: Based on experience and qualifications.
- Restricted Stock Units: Opportunity to own a piece of a fast-growing technology company.
- Health Insurance: Comprehensive medical, vision, and dental coverage.
- HSA Contributions: Employer contributions to Health Savings Accounts.
- Paid Parental Leave: Generous leave for new parents.
- Life and Disability Insurance: Paid life insurance, short-term and long-term disability coverage.
- Teladoc: Access to virtual healthcare services.
- 401(k): 100% match up to 4% of salary.
- Paid Time Off: Generous vacation and holiday schedule.
- Cell Phone Reimbursement: Coverage for business-related cell phone expenses.
- Tuition Reimbursement: Support for continuing education and professional development.
Crusoe Culture
At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We value:
- Impact: Making a tangible difference in the world through our technology.
- Teamwork: Working together to achieve common goals.
- Learning: Continuously expanding our knowledge and skills.
- Sustainability: Building responsible and environmentally conscious solutions.
- Integrity: Operating with honesty and transparency.
How to Apply
If you are passionate about AI, software engineering, and sustainability, we encourage you to apply! Please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and qualifications.
FAQ
- What is Crusoe's mission?
Crusoe's mission is to accelerate the abundance of energy and intelligence. - What technologies will I be working with?
You will be working with a range of technologies, including Large Language Models (LLMs), PyTorch, Golang or Python, and cloud-based services. - What are the key responsibilities of this role?
Key responsibilities include implementing and maintaining systems for fine-tuning large foundation models, developing training pipelines, and building agent execution infrastructure. - What qualifications are required for this role?
A Bachelor's degree in Computer Science, Engineering, or a related field, along with 4-5+ years of industry experience, is required. - What benefits does Crusoe offer?
Crusoe offers a comprehensive benefits package, including competitive pay, stock options, health insurance, paid time off, and more. - What is the company culture like at Crusoe?
Crusoe fosters a culture of innovation, collaboration, and sustainability. - What opportunities for career advancement are available?
Potential career paths include Principal Engineer, Staff Engineer, Engineering Manager, and Architect. - How does Crusoe contribute to sustainability?
Crusoe is committed to building responsible and environmentally conscious solutions, leveraging energy resources in a sustainable manner. - What is the interview process like?
The interview process typically involves a phone screening, technical interview, and a final interview with the hiring manager. - Where is this position located?
This position is located in San Francisco, California.
Locations
- San Francisco, California, United States
Salary
Estimated Salary Rangemedium confidence
198,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (ML)intermediate
- Large Language Models (LLMs)intermediate
- Generative AIintermediate
- Model Fine-tuning (SFT, PEFT, LoRA, adapters)intermediate
- Multi-node Orchestrationintermediate
- Checkpointingintermediate
- Failure Recoveryintermediate
- Scalable Systemsintermediate
- Training Pipelinesintermediate
- Distillationintermediate
- Reinforcement Learning (Preference Optimization, Policy Optimization, Reward Modeling)intermediate
- Agent Execution Infrastructureintermediate
- Dataset Managementintermediate
- Model Managementintermediate
- Experiment Managementintermediate
- Versioningintermediate
- Lineage Trackingintermediate
- Model Evaluationintermediate
- Reproducible Fine-tuningintermediate
- Cloud Computingintermediate
- Golangintermediate
- Pythonintermediate
- PyTorchintermediate
- API Developmentintermediate
- System Abstractionintermediate
- Communicationintermediate
- Collaborationintermediate
- Problem-solvingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field. (experience)
- 4-5+ years of industry experience in software engineering with AI/ML focus. (experience)
- Experience delivering production-ready features. (experience)
- Familiarity with essential cloud-based services (compute, storage, networking). (experience)
- Familiarity with Generative AI (Large Language Models, Multimodal). (experience)
- Experience with AI infrastructure components (training, inference). (experience)
- Proficiency in Golang or Python for production services (preferred). (experience)
- Familiarity with PyTorch (preferred). (experience)
- Some experience with training and fine-tuning LLMs (preferred). (experience)
- Proactive and collaborative approach. (experience)
- Strong communication and interpersonal skills. (experience)
- Passion for building AI products and solving technical problems. (experience)
- Ability to work closely with Senior Engineers and Principal Engineers. (experience)
- Experience contributing to technical discussions on training runtimes, scheduling, storage, and model lifecycle management. (experience)
- Engagement with the open-source LLM ecosystem. (experience)
Responsibilities
- Implement and maintain systems for fine-tuning 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.
- Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
- Develop and maintain core agent execution infrastructure.
- Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.
- Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.
- Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.
- Engage with the open-source LLM ecosystem.
- Take significant implementation ownership for core system components.
- Ensure the reliability, scalability, and security of the managed AI platform.
- Participate in code reviews and contribute to improving code quality.
- Stay up-to-date with the latest advancements in AI/ML and cloud computing.
- Troubleshoot and resolve issues in production environments.
- Contribute to the development of internal tools and documentation.
- Mentor junior engineers and provide technical guidance.
- Collaborate with cross-functional teams to define and prioritize features.
- Participate in sprint planning and daily stand-up meetings.
- Contribute to the overall architecture and design of the AI platform.
Benefits
- general: Industry competitive pay
- general: Restricted Stock Units in a fast growing, well-funded technology company
- general: Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- general: Employer contributions to HSA accounts
- general: Paid Parental Leave
- general: Paid life insurance
- general: Short-term and long-term disability insurance
- general: Teladoc services
- general: 401(k) with a 100% match up to 4% of salary
- general: Generous paid time off and holiday schedule
- general: Cell phone reimbursement
- general: Tuition reimbursement
- general: Opportunity to work on cutting-edge AI technology
- general: Collaborative and supportive work environment
- general: Professional development opportunities
- general: Impactful work contributing to the abundance of energy and intelligence
- general: Sustainable and responsible cloud infrastructure initiatives
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior Software Engineer, Managed AI - AI Model LifeCycle Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs