Multimodal AI Data Systems Engineer (Hybrid)

Slope; San Francisco (CA); Hybrid; USD 295,000 - 445,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with employer match

Paid parental leave

Flexible PTO

Mental health and wellness support

Job summary

Slope is seeking a Research Engineer for Distributed Data Systems in San Francisco. In this role, you will design, build, and maintain data infrastructure systems to support large-scale multimodal training and evaluation. Candidates should have strong experience with distributed systems, be detail-oriented, and demonstrate solid software engineering fundamentals. The position offers a hybrid work model, competitive pay range of $295K - $445K, and comprehensive benefits including equity and generous paid leave.

Qualifications

• Strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
• Detail-oriented with rigor in building and maintaining reliable systems.
• Excellent software engineering fundamentals and organizational skills.

Responsibilities

• Design, build, and maintain data infrastructure systems.
• Ensure scalability, reliability, and security.
• Partner with researchers to translate requirements into production-ready systems.

Skills

Distributed systems

Data infrastructure

Software engineering fundamentals

Organizational skills

Job description

Slope is seeking a Research Engineer for Distributed Data Systems in San Francisco. In this role, you will design, build, and maintain data infrastructure systems to support large-scale multimodal training and evaluation. Candidates should have strong experience with distributed systems, be detail-oriented, and demonstrate solid software engineering fundamentals. The position offers a hybrid work model, competitive pay range of $295K - $445K, and comprehensive benefits including equity and generous paid leave.