Machine Learning Software Engineer

Are you an experienced Machine Learning Software Engineer looking for your next challenge? This role offers an opportunity to work with a cutting-edge AI studio based in Palo Alto, CA, known for its state-of-the-art language models and innovative technology.

About the Company: The company is a dynamic AI studio that has made significant strides in developing and deploying advanced language models. Their flagship projects include highly sophisticated models and personal assistants, reflecting their commitment to pushing the boundaries of AI technology. They are currently focusing on finetuning and adapting these models for specific commercial applications, backed by a strong infrastructure and significant resources.

About the Role: As a Machine Learning Software Engineer, you will play a key role in integrating machine learning frameworks and models into the company’s platform. Your primary responsibilities will include developing, deploying, and optimizing ML models to ensure they work seamlessly with backend systems and APIs, contributing to the delivery of robust enterprise solutions.

This role is ideal if you:

• Have experience in building and deploying scalable machine learning models, especially large language models (LLMs).
• Are proficient with ML frameworks and infrastructure, particularly PyTorch.
• Enjoy creating applications and tools that leverage ML models to enhance enterprise functionality.
• Have a solid background in programming languages and tools such as Python, PyTorch, and FastAPI.
• Are familiar with backend systems, APIs, and databases, ensuring efficient ML model integration.

What We Can Offer You:

• Generous benefits package including unlimited paid time off, parental leave, and comprehensive medical, dental, and vision plans.
• Visa sponsorship and support for personal growth through coaching, conferences, and training.
• A supportive and inclusive work environment with a strong focus on work-life balance.

Key Responsibilities:

• Develop and deploy scalable machine learning models.
• Integrate ML frameworks with existing platforms, focusing on PyTorch.
• Optimize ML models for enterprise applications.
• Ensure seamless integration with backend systems and APIs.
• Collaborate with cross-functional teams to enhance model performance.

Machine Learning Software Engineer role requires expertise in scalable model deployment, integration with backend systems, and a solid foundation in PyTorch, Python, and FastAPI.

Relevant Keywords: Machine Learning Models, PyTorch, Python, FastAPI, Backend Systems, Model Optimization, API Integration, Scalable Systems, Enterprise Solutions, Large Language Models.