Role: SR ML Engineer

Location: San Francisco, CA (Onsite/Hybrid 2 Days a week)

Contract: Long Term, W2

Experience: 12+ Years

Job Description:

• Design and develop end-to-end products to enable easy adoption of generative AI for enterprises.
• Collaborate with multi-functional teams including product managers, applied scientists, and other engineers and identify and implement the most effective system design and solutions.
• Design and build services and integrations for ML pipelines for LLM fine-tuning, prompt tuning and engineering, Benchmarking and RAG for various generative AI models.
• Stay up to date with the latest advancements in the field of AI and apply them to develop cutting-edge solutions.

Minimum Qualifications:

• Bachelors + 10+ years of related experience, or Masters + 4 years of related experience, or PhD + 1 years of related experience.
• Proven experience programming languages commonly used in AI and ML development such as Python, Java, or C++.
• Demonstrated coding experience in developing and delivering complex, distributed, enterprise class software.
• Documented experience with the infrastructure required for the development and implementation of Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Image Processing, and various generative AI techniques.
• Experience with building and maintaining ML pipelines, including experience with fine-tuning, prompt tuning, benchmarking, and retrieval-augmented generation (RAG).

Preferred Qualifications:

• Experience with AI and ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Understanding of software development best practices, including version control (e.g., Git), continuous integration/continuous deployment (CI/CD), and testing methodologies.
• Extraordinarily resourceful & thorough, you can operate successfully among forward-thinking people.
• Equally comfortable and capable interacting with technologists as with business executives.

Job Type: Contract

Pay: $60.00 - $65.00 per hour

Expected Hours: 8 per week

Schedule:

• 8 hour shift

Application Question(s):

• Are you comfortable working in an onsite setting?

Experience:

• Machine learning: 10 years (Required)
• LLMs: 4 years (Required)
• Generative AI: 4 years (Required)

Work Location: On the road