Proactive ML Research Engineer - Hybrid & Relocation

Slope; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model of 3 days in-office

Job summary

Slope is seeking a Research Engineer / Scientist to enhance personalization and agentic capabilities within our models. In this role, based in San Francisco, CA, you will develop research agendas, conduct evaluations, and collaborate across teams to create impactful solutions. Ideal candidates possess strong ML engineering skills, a passion for product-driven research, and an understanding of LLM post-training methodologies. The position offers a hybrid work model with a focus on teamwork and technical innovation.

Qualifications

• Strong ML engineering skills and research experience.
• Passionate about product-driven research.
• Deep understanding of machine learning applications.

Responsibilities

• Own and pursue research agenda to improve model proactivity.
• Build evaluations for tracking modeling improvements.
• Collaborate with research and product teams on solutions.

Skills

Machine learning engineering skills

Research experience

Understanding of LLM post-training

Personalization understanding

Debugging skills in ML codebase

Job description

Slope is seeking a Research Engineer / Scientist to enhance personalization and agentic capabilities within our models. In this role, based in San Francisco, CA, you will develop research agendas, conduct evaluations, and collaborate across teams to create impactful solutions. Ideal candidates possess strong ML engineering skills, a passion for product-driven research, and an understanding of LLM post-training methodologies. The position offers a hybrid work model with a focus on teamwork and technical innovation.