Applied ML Researcher

Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding‑edge big data technologies to develop a high‑performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky.

Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting‑edge data center operations.

• Conduct in-depth research on advanced techniques such as Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to optimize the alignment of Language Models (LLMs).
• Collaborate effectively with both technical and non‑technical stakeholders, ensuring a seamless alignment of LLMs for specific use cases.
• Formulate and implement robust strategies to guarantee LLM alignment with product feature goals, with a specific emphasis on preventing hallucinations.
• Systematically gather requirements from diverse teams, including data engineering, product features, research, and evaluation, to develop sophisticated modeling, prompting, and data transformation techniques for LLM refinement.

• Strong understanding of machine learning principles, especially in the context of LLMs.
• Knowledgeable about different LLM approaches for aligning LLMs (SFT, RLHF, etc.).
• Capability to own and pursue a research agenda, including selecting impactful research problems and autonomously executing projects.
• More than 5 years of proficiency in Python, including machine learning packages such as Jax/Tensorflow or PyTorch.
• Experience in building deep learning solutions at scale.
• BS/BA or an equivalent degree in computer science or a related field (PhD preferred).

• Opportunity to work on cutting‑edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Benefits package, including but not limited to: medical, dental, vision, etc.
• Corporate social events.
• Professional development opportunities.

At this moment, we are not able to process H1B transfers. Applicants with CPT and OPT visas are welcome to apply.