Senior NLP Engineer; Equity
Position: Senior NLP Engineer (Equity Based)
Location: California
Overview
Position:
Senior NLP Engineer (Equity Based);
Location:
Remote;
Category:
Flexible, Part-time (20 hours) to Full-time (40 hours);
Compensation:
Fair Market Value, Equity-Based Compensation Model
Role Overview
We are seeking a Senior NLP Engineer to help implement a language model-based solution for an innovative application. The role involves working with machine learning models, managing cloud infrastructure, and optimizing API integrations to deliver a scalable and effective user experience. The candidate will contribute to the development and fine-tuning of the model to ensure high performance and cost-efficiency.
Responsibilities
• Fine-tune and optimize large language models to improve user interactions.
• Implement and maintain API integrations for seamless communication with the model.
• Optimize model training processes to reduce time and cost.
• Manage and monitor cloud infrastructure (Google Cloud Platform) for compute and storage needs.
• Collaborate with stakeholders to refine user experience and system performance.
Requirements
• Strong experience with machine learning models and fine-tuning large language models (LLMs).
• Proficiency with cloud platforms, particularly Google Cloud (Vertex AI, cloud compute, storage).
• Knowledge of AI/ML tools and frameworks, especially in natural language processing (NLP).
• Familiarity with API integrations and cloud resource management.
• Strong problem-solving skills and the ability to work independently.
• Effective communication skills for technical and non-technical team collaboration.
• Past experience building personalized AI systems would be helpful.
• Familiarity with cost optimization strategies for cloud-based AI services is a plus.
Equity-Based Compensation
As part of the SOULCHI team, you'll take part in our equity-based compensation model, aligning your success with the success of our business. We use the Slicing Pie model. First phase is equity-based only, which we are currently in. Equity calculations move dynamically based on your fair market rate and actual number of hours worked. In the second phase, which happens at the break-even point, the equity freezes at each member's current earned percentage and compensation switches to salary + benefits.
Your equity percentage gets paid out annually as part of the profit sharing. This is more than a job; it's an opportunity to own a piece of the future.
We request you only apply for this position if you believe an equity-based model is the perfect fit for you. A more detailed explanation from the professor who created the model can be found on You Tube, 'Pie Slicer Equity Split Software' by Slicing Pie.
Flexibility and Scheduling
We understand the importance of work-life balance and recognize that each individual has unique scheduling needs. As such, we offer flexibility in working hours for the Full-Stack Developer role, with the opportunity to work anywhere between 15 to 40 hours per week, depending on the candidate's availability and suitability for the role.
How to Apply
To apply, please submit your resume and a cover letter detailing your alignment with our mission and the value you can bring to our team. Join our passionate team and be part of a transformative journey to spread virtues, create social impact, and contribute to a more loving and peaceful world. Together, we can harness the power of technology to bring the truth of oneness to the center of societies worldwide.
#J-18808-Ljbffr
Apply Now
Apply Now
Location: California
Overview
Position:
Senior NLP Engineer (Equity Based);
Location:
Remote;
Category:
Flexible, Part-time (20 hours) to Full-time (40 hours);
Compensation:
Fair Market Value, Equity-Based Compensation Model
Role Overview
We are seeking a Senior NLP Engineer to help implement a language model-based solution for an innovative application. The role involves working with machine learning models, managing cloud infrastructure, and optimizing API integrations to deliver a scalable and effective user experience. The candidate will contribute to the development and fine-tuning of the model to ensure high performance and cost-efficiency.
Responsibilities
• Fine-tune and optimize large language models to improve user interactions.
• Implement and maintain API integrations for seamless communication with the model.
• Optimize model training processes to reduce time and cost.
• Manage and monitor cloud infrastructure (Google Cloud Platform) for compute and storage needs.
• Collaborate with stakeholders to refine user experience and system performance.
Requirements
• Strong experience with machine learning models and fine-tuning large language models (LLMs).
• Proficiency with cloud platforms, particularly Google Cloud (Vertex AI, cloud compute, storage).
• Knowledge of AI/ML tools and frameworks, especially in natural language processing (NLP).
• Familiarity with API integrations and cloud resource management.
• Strong problem-solving skills and the ability to work independently.
• Effective communication skills for technical and non-technical team collaboration.
• Past experience building personalized AI systems would be helpful.
• Familiarity with cost optimization strategies for cloud-based AI services is a plus.
Equity-Based Compensation
As part of the SOULCHI team, you'll take part in our equity-based compensation model, aligning your success with the success of our business. We use the Slicing Pie model. First phase is equity-based only, which we are currently in. Equity calculations move dynamically based on your fair market rate and actual number of hours worked. In the second phase, which happens at the break-even point, the equity freezes at each member's current earned percentage and compensation switches to salary + benefits.
Your equity percentage gets paid out annually as part of the profit sharing. This is more than a job; it's an opportunity to own a piece of the future.
We request you only apply for this position if you believe an equity-based model is the perfect fit for you. A more detailed explanation from the professor who created the model can be found on You Tube, 'Pie Slicer Equity Split Software' by Slicing Pie.
Flexibility and Scheduling
We understand the importance of work-life balance and recognize that each individual has unique scheduling needs. As such, we offer flexibility in working hours for the Full-Stack Developer role, with the opportunity to work anywhere between 15 to 40 hours per week, depending on the candidate's availability and suitability for the role.
How to Apply
To apply, please submit your resume and a cover letter detailing your alignment with our mission and the value you can bring to our team. Join our passionate team and be part of a transformative journey to spread virtues, create social impact, and contribute to a more loving and peaceful world. Together, we can harness the power of technology to bring the truth of oneness to the center of societies worldwide.
#J-18808-Ljbffr
Apply Now
Apply Now