Job Title: Senior Software Engineer (Backend & MLOps)
Salary: $200k - $280k + Generous Equity
Location: San Francisco, CA (5-days Onsite)

Responsibilities:

• Design and build scalable infrastructure for machine learning model deployment, inference, and data systems.
• Contribute across ML infrastructure, backend engineering, and data pipelines, supporting both production and research needs.
• Lead deployment of large-scale ML and LLM-based systems into customer-facing and on-prem environments.
• Drive engineering best practices and help build a high-performance, cross-functional team culture.

Requirements:

• Strong experience in Python, FastAPI, cloud platforms (any major provider), and data engineering.
• Proven ability to work across ML infrastructure, backend systems, and distributed environments.
• Prior ownership of enterprise-scale production deployments, with a focus on reliability and usability.
• Engineering-first mindset, with the option to contribute to research initiatives as desired.
• Bonus: Built and scaled SaaS or ML platforms handling complex, high-volume enterprise data.
• Bonus: Designed end-to-end ML systems—from data access and training to evaluation and deployment.
• Bonus: Delivered LLM-powered systems for production use, especially in retrieval or research workflows.

Benefits:

• Fully Covered Medical, Dental, and Vision Insurance
• Paid Time Off
• Parental Leave
• Free Lunches
• Team Building Events
• Collaborative Team environment

If you are interested in learning more about this position or any other roles we may have open, please apply today!

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Our Commitment to Diversity, Equity, and Inclusion:
Signify’s mission is to empower every person, regardless of their background
or circumstances, with an equitable chance to achieve the careers
they deserve. Building a diverse future, one placement at a time.